Home Download Examples FAQ Citations Wikipedia
The following references provide examples of research and applications using Pathfinder Networks. Thanks to William Acton for providing many of these references. If you have a reference you would like to have added to the list, please email it to us at: firstname.lastname@example.org
Acton, W., Johnson, P., & Goldsmith, T. (1994). Structural knowledge assessment: Comparison of referent structures. Journal of Educational Psychology, 86(2), 303-311.
Alexander, J. M., Noyes, C. R., MacBrayer, E. K., Schwanenflugel, P. J., & Fabricius, W. V. (1998). Concepts of mental activities and verbs in children of high and average verbal intelligence. Gifted Child Quarterly, 42 (1), 16-28.
Alda, F. (2016). La Biología en Enseñanzas Medias y primer curso de la Universidad: análisis de los currículos oficiales mediante ontologías semánticas. Doctoral Disseration, Universidad Zaragoza.
Alexandridis, K, Takemura, S., Webb, A., Lausche, B., Cukter, J.,
& Sato, T. (2018). Semantic knowledge network inference across a
range of stakeholders and communities of practice. August 2018,
Environmental Modelling and Software, 109,
Amith, M., Cohen, T., Cunningham, R, Savas, L. S., Smith, N., Cuccaro, P., Gabay, E., Boom, J., Schvaneveldt, R., & Tao, T. (2020). Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks. Cancer Control, 27, 1-16. https://doi.org/10.1177%2F1073274819891442
Amith, M., Cunningham, R., Savas, L. S., Boom, J., Schvaneveldt,
R., Tao, C., & Cohen, T. (2017). Using Pathfinder networks to
discover alignment between expert and consumer conceptual knowledge
from online vaccine content, Journal of Biomedical Informatics,
74, 33-45, ISSN 1532-0464,
Anderson, M. P., McDonald, J. E., & Schvaneveldt, R. W. (1987). Empirical user modeling: Command usage and task analyses for deriving models of users. Paper presented at the 31st Annual Meeting of the Human Factors Society, New York, October.
Annaiyappa, P. K., Dearholt, D. W., Johansen, L. S., McDonald, J. E., Paap, K. R., & Schvaneveldt, R. W. (1991). Information retrieval comparing key word search to spreading activation: Application to the Aviation Safety Reporting System. Interactive poster presented at CHI '91, New Orleans, April/May.
Arias-Masa J., Contreras-Vas J.Á., Izquierdo V.H., Espada R.M., Arias-Abelaira J. (2020). Measurement of the Difference Between Students and Teachers’ Average Networks Using Associative Pathfinder Networks. In: Costa A., Reis L., Moreira A. (eds) Computer Supported Qualitative Research. WCQR 2019. Advances in Intelligent Systems and Computing, vol 1068. Springer, Cham DOI: https://doi.org/10.1007/978-3-030-31787-4_11
Arleo, A., Kwon, O-H., & Ma, K-L. (2017). GraphRay: Distributed pathfinder network scaling. Conference: 2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV) DOI 10.1109/LDAV.2017.8231853
Aronoff, J. M., Gonnerman, L. M., Almor, A., Arunachalam, S., Kempler, D., & Andersen, E. S. (2006). Information content versus relational knowledge: Semantic deficits in patients with Alzheimer's disease. Neuropsychologia, 44 (1), 21-35.
Atas, S. (2019). Effect of Formative Feedback via Interactive Concept Maps on Informal Inferential Reasoning and Conceptual Understanding of ANOVA. PhD Thesis, University of Ottawa.
Azarello, Jo. (2007). Use of the Pathfinder scaling algorithm to measure students' structural knowledge of community health nursing. Nursing Education, 46(7), 313-318.
Barab, Sasha A., Fajen, Brett R., Kulikowich, Jonna M. & Young, Michael F. (1996). Assessing hypermedia navigation through Pathfinder: Prospects and limitations. Journal of Educational Computing Research, 15(3), 185-205.
Barb, A. S., Clariana, R. B., & Shyu, C. R. (2013). Applications of PathFinder Network Scaling for Improving the Ranking of Satellite Images. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 6 (3), 1092-1099.
Barb, A.S. & Shyu, Chi-Ren (2012). Associative semantic rankings of satellite images using Pathfinder Network Scaling ensemble methods. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, July 22-27, pp 5289-5292.
Beier, M. E., Campbell, M., & Crook, A. E. (2010). Developing and demonstrating knowledge: Ability and non-ability determinants of learning and performance. Intelligence, 38 (1), 179-186.
Benedek, M., Kenett, Y. N., Umdasch, K., Anaki, D., Faust, M., & Neubauer, A. C. (2017). How semantic memory structure and intelligence contribute to creative thought: A network science approach. Thinking & Reasoning, Published online 17 Jan 2017. http://dx.doi.org/10.1080/13546783.2016.1278034
Benninghaus, J. C., Mühling, A., Kremer, K., & Sprenger, S. (2019). Complexity in Education for Sustainable Consumption—An Educational Data Mining Approach using Mysteries. Sustainability.
Bonebright, T. L., Miner, N. E., Goldsmith, T. E., & Caudell, T. P. (2005). Data collection and analysis techniques for evaluating the perceptual qualities of auditory stimuli. ACM Transactions on Applied Perception (TAP), 2 (4), 505-516.
Börner, Katy. (2002). Visual Interfaces for SemanticInformation Retrieval and Browsing. Groimenko,Vladimir and Chen, Chaomei (Eds.), Visualizing theSemantic Web: XML-based Internet and InformationVisualization, Springer Verlag, Chapter 7, pp. 99-115.
Bradley, J. H., Paul, R., & Seeman, E. (2006). Analyzing the structure of expert knowledge. Information & Management, 43 (1), 77-91.
Branaghan, R. J., & Hildebrand, E. A. (2011). Brand personality, self - congruity, and preference: A knowledge structures approach. Journal of Consumer Behaviour, 10 (5), 304-312.
Branaghan, R., & Schvaneveldt, R. (1988). Prediction of paired-associate learning using multidimensional scaling and the pathfinder algorithm. Paper presented at the annual meetings of the Rocky Mountain Psychological Association, Snowbird, Utah, April.
Branaghan, R., McDonald, J., & Schvaneveldt, R. (1991). Identifying high-level UNIX tasks. SIGCHI Bulletin, 23, 73-74.
Branaghan, R., McDonald, J., & Schvaneveldt, R. (1991). Identifying tasks from protocol data. Paper presented at CHI '91, New Orleans, May.
Branaghan, R. J., Takamura, J., Palmer, M. T., Hildebrand, E. A., & Sevier, D. (2010). Mapping Information Requirements for Police Patrol and Response to Informational Displays. Journal of Cognitive Engineering and Decision Making, 4, 2, 113-128.
Braunschweig, B., & Seaman, C. (2014). Measuring shared understanding in software project teams using pathfinder networks. ESEM '14 Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measrement, Article No. 41.
Breznik, K. (2019). What mission statements reveal in public sector: The case of Slovenian hospitals and Health Centres. International Conference: Thriving on Future Education, Management, Industry, Business Knowledge and Learning, and Society. Piran, Slovenia, 15-17 May 2019.
Brock, M. E., Vert, A., Kligyte, V., Waples, E. P., Sevier, S. T., & Mumford, M. D. (2008). Mental models: An alternative evaluation of a sensemaking approach to ethics instruction. Science and Engineering Ethics, 14 (3), 449-472.
Bruggmann, A., Fabrikant, S. I., & Purves, R. S. (2020). How Can Geographic Information in Text Documents be Visualized to Support Information Exploration in the Humanities? International Journal of Humanities and Arts Computing, 14. 98-118. ( https://doi.org/10.3366/ijhac.2020.0247 )
Burkolter, Dina, Meyer, Bertolt, Kluge, Annette & Sauer, Jürgen (2010). Assessment of structural knowledge as a training outcome in process control environments. Human Factors, 52(1), 119-138.
Bushman, B. J. (1996). Individual differences in the extent and development of aggressive cognitive-associative networks. Personality and Social Psychology Bulletin, 22(8), 811-819.
Capelo. C., & Dias, J. F. (2009). A feedback learning and mental models perspective on strategic decision making. Educational Technology Research and Development, 57(5) 629-5644.
Carroll, J. D. (1995). “Minmax length links” of a dissimilarity matrix and minimum spanning trees. Psychometrika, 60(3), 371-374.
Casas-García, L. M., & Luengo-González, R. (2013). The study of the pupil's cognitive structure: the concept of angle. European journal of psychology of education, 28 (2), 373-398.
Castriotta, M., Loi, M., Marku, E., & Moi, L. (2021). Disentangling the corporate entrepreneurship construct: conceptualizing through co-words. Scientometrics (2021). https://doi.org/10.1007/s11192-020-03846-2
Catarreira, S. M. V., Lopes, V. G., Garcia, L. M. C., & Gonzalez, R. L. (2017). Evaluation of Changes in Cognitive Structures after the Learning Process in Mathematics. International Journal of Innovation in Science and Mathematics Education, 25(2), 17–33..
Chan, A., Salmon, D., Nordin, S., Murphy, C. & Razani, J. (1998). Abnormality of semantic network in patients with Alzheimer's disease: Evidence from verbal, perceptual, and olfactory domains. Annals of the New York Academy of Sciences, 855, 681-685.
Chan, A.S., Butters, N. & Salmon, D.P. (1997). The deterioration of semantic networks in patients with Alzheimer's disease: A cross-sectional study. Neuropsychologia, 35(3), 241-248.
Chan, A.S., Butters, N., Salmon, D.P., Johnson, S.A., Paulsen, J.S. & Swenson, M.R. (1995). Comparison of the semantic networks in patients with dementia and amnesia. Neuropsychology, 9(2), 177-186.
Chan, A.S., Salmon, D.P., & De La Pena, Jody (2001). Abnormal semantic network for “animals” but not “tools” in patients with Alzheimer's disease. Cortex, 37(2), 197-217.
Chao, G. T., & Moon, H. (2005). The cultural mosaic: A metatheory for understanding the complexity of culture. Journal of Applied Psychology, 90(6), 1128-1140.
Chen, A., & Ennis, C. D. (1995). Content knowledge transformation: An examination of the relationship between content knowledge and curricula. Teaching and Teacher Education, 11 (4), 389-401.
Chen, C. (1997). Using similarity ratings and the Pathfinder algorithm for evaluating students' cognitive structures in Newtonian mechanics (Doctoral dissertation, The Ohio State University, 1997). Dissertation Abstracts International, 57, 7A, 2852.
Chen, C. (1997). Tracking Latent Domain Structures: An Integration of Pathfinder and Latent Semantic Analysis AI & Society, 11, 48-62.
Chen, C. (1998). Generalized similarity analysis and Pathfinder network scaling. Interacting with Computers, 10, 107-128.
Chen, C. (2005, January). The centrality of pivotal points in the evolution of scientific networks. In Proceedings of the 10th international conference on Intelligent user interfaces (pp. 98-105). ACM.
Chen, C. (2013). Mapping scientific frontiers: The quest for knowledge visualization. 2nd Edition (1st Edition in 2002). New York: Springer.
Chen, C., Cribbin, T., Macredie, R. & Morar, S. (2002). Visualizing and tracking the growth of competing paradigms: Two case studies. Journal of the American Society for Information Science and Technology (JASIST), 53(8), 678-689.
Chen, C., & Czerwinski, M. (1998). From Latent Semantics to Spatial Hypertext -- An Integrated Approach. Proceedings of the 9th ACM Conference on Hypertext and Hypermedia..
Chen, C. & Davies, J. (1999). Integrating spatial, semantic, and social structures for knowledge management. Proceedings of the 32 nd Hawaii International Conference on System Sciences, Maui, pp 1-10. Retrieved online at http://www.psychology.nottingham.ac.uk/staff/ddc/c8cxpa/further/ *%20Lecture%20materials/08%20Emotion%20lecture/Emotion_lecture_files/Seq_3.pdf
Chen, C. & Guan, J. (2011). A bibliometric investigation of research performance in emerging nanobiopharmaceuticals. Journal of Informetrics, 5(2), 233-247.
Chen, C. & Kuljis, J. (2003). The rising landscape: A visual exploration of superstring revolutions in physics. Journal of the American Society for Information Science and Technology, 54(5), 435–446.
Chen, C., Kuljis, J., & Paul, R. J. (2001). Visualizing latent domain knowledge. IEEE Transactions on Systems, Man, and Cybernetics – Part C: Applications and Reviews. 31(4), 518-529.
Chen, C., McCain, K., White, H., & Lin, X. (2002). Mapping scientometrics. Proceedings of the American Society for Information Science and Technology, 39(1), 25-34.
Chen, C., Paul, R.J., & O'Keefe, B. (2001). Fitting the jigsaw of citation: Information visualization in domain analysis. Journal of the American Society for Information Science and Technology, 52(4), 315-330.
Chen C., Song M. (2017) Science Mapping Tools and Applications. In: Representing Scientific Knowledge. pp 57-137. Springer.
Chen, C., Song, I-Y., Yuan, X_J., & Zhang, J. (2008). The thematic and citation landscape of Data and Knowledge Engineering (1985–2007). Data & Knowledge Engineering 67(2):234-259 · November 2008.
Chen, C., Thomas, L, Cole, J., & Chenawassin, C. (1999). Representing the semantics of virtual spaces. IEEE MultiMedia, 6(2): pp. 54-63.
Chen, Chaomei & Morris, Steven (2003). Visualizing evolving networks: Minimum Spanning Trees versus Pathfinder networks. Proceedings IEEE Symposium on Information Visualization, 2003.October 19-21, 2003, Seattle, Washington, USA.
Chen, Chaomei & Paul, Ray J. (2001). Visualizing a domain's intellectual structure. Computer, 34(3), 65-71.
Chen, Chaomei (1997). Tracking Latent Domain Structures: An integration of Pathfinder and Latent Semantic Analysis. AI & Society, 11, 48-62.
Chen, Chaomei (1999). Visualizing semantic spaces and author co-citation networks in digital libraries. Information Processing and Management, 35, 401-420.
Chen, L. H. (2011). Enhancement of student learning performance using personalized diagnosis and remedial learning system. Computers & Education, 56 (1), 289-299.
Chen, T. T. (2012). The development and empirical study of a literature review aiding system. Scientometrics, 92 (1), 105-116.
Chen, W., Allen, C., & Jonassen, D. (2018). Deeper learning in collaborative concept mapping: A mixed methods study of conflict resolution. Computers in Human Behavior, https://doi.org/10.1016/j.chb.2018.01.007
Choo, Freddie & Curtis, Mary B. (2000). Structural assessment in accounting research. Journal of Accounting Literature, 19, 131-157.
Clariana, R. B. (2010). Multi-decision approaches for eliciting knowledge structure. In Computer-based diagnostics and systematic analysis of knowledge (pp. 41-59). Springer US.
Clariana, R.B., Engelmann, T., & Yu, W. (2013). Using centrality of concept maps as a measure of problem space states in computer-supported collaborative problem solving. Educational Technology Research and Development, 61 (3), 423-442.
Clariana, R.B., Rysavy, M. D., & Taricani, E. M. (2015). Text signals influence team artifacts. Educational Technology Research and Development, 63 (1), 35-52.
Clariana, R. B., Wallace, P. E., & Godshalk, V. M. (2009). Deriving and measuring group knowledge structure from essays: The effects of anaphoric reference. Educational Technology Research and Development, 57 (6), 725-737.
Clariana, R.B., Wolfe, M. B., & Kim, K. (2014). The influence of narrative and expository text lesson text structures on knowledge structures: alternate measures of knowledge structure. Educational Technology Research and Development, 62 (4), 601-616. doi:10.1007/s11423-014-9348-3
Clariana, R.B., & Koul, R. (2008). The effects of learner prior knowledge when creating concept maps from a text passage. International Journal of Instructional Media, 35 (2), 177-184. link
Clariana, R.B., & Marker, A. (2007). Generating topic headings during reading of screen-based text facilitates learning of structural knowledge and impairs learning of lower-level knowledge. Journal of Educational Computing Research, 37 (2), 173-191.
Clariana, R.B., & Taricani, E. M. (in press). The consequences of increasing the number of terms used to score open-ended concept maps. International Journal of Instructional Media, 37 (2), in press. link
Clariana, R.B., & Wallace, P. E. (2007). A computer-based approach for deriving and measuring individual and team knowledge structure from essay questions. Journal of Educational Computing Research, 37 (3), 209-225.
Clariana, R.B., & Wallace, P. E. (in press). A comparison of pair-wise, list-wise, and clustering approaches for eliciting structural knowledge. International Journal of Instructional Media, 36 (3), in press. link
Clariana, R.B., Koul, R., & Salehi, R. (2006). The criterion-related validity of a computer-based approach for scoring concept maps. International Journal of Instructional Media, 33 (3), 317-325.
Clark, M. D., Schwanenflugel, P. J., Everhart, V. S., & Bartini, M. (1996). Theory of mind in deaf adults and the organization of verbs of knowing. Journal of Deaf Studies and Deaf Education, 1 (3), 179-189.
Clarke III, W. D. (1996). A study of lecture and computer - based teaching of articulatory and acoustic aspects of American English vowels. The Journal of the Acoustical Society of America, 99 (4), 2550-2574.
Cohen, T., & Schvaneveldt, R. W. ( 2010). The trajectory of scientific discovery: Concept co-occurrence and converging semantic distance. Studies in Health Information Technology and Informatics, 160(Pt 1), 661-665.
Cohen, T., Schvaneveldt, R. W., & Widdows, D. (2010). Reflective random indexing and indirect inference: A scalable method for discovery of implicit connections. Journal of Biomedical Informatics, 43(2), 240-256 .
Cohen, T., Whitfield, G. K., Schvaneveldt, R. W., Mukund, K., & Rindflesch, T. C. (2010). EpiphaNet: An interactive tool to support biomedical discoveries. Journal of Biomedical Discovery and Collaboration, 5, 21-49.
Cohen, T., Widdows, D., Schvaneveldt, R. W., & Rindflesch, T. C. (2010). Logical leaps and quantum connectives: Forging paths through predication space. AAAI-Fall 2010 Symposium on Quantum Informatics for Cognitive, Social, and Semantic Processes November, p. 11-13.
Connor, O., Weinger, M. B., Cooke, N. J., & Slagle, J. (2004, September). Using psychological scaling techniques to assess clinical expertise in anesthesiology. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 48, No. 15, pp. 1746-1750). SAGE Publications.
Cooke, N. J. (1992). Predicting judgment time from measures of psychological proximity. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18, 640-653.
Cooke, N. J. (1994). Varieties of knowledge elicitation techniques. International Journal of Human-Computer Studies, 41, 801-849.
Cooke, N. J., Stout, R., & Salas, E. (2001). A knowledge elicitation approach to the measurement of team situation awareness. New trends in cooperative activities: Understanding system dynamics in complex environments, 114-139.
Cooke, N. M. & Schvaneveldt, R. W. (1986). The evolution of cognitive networks with computer programming experience. Paper presented at the workshop on Empirical Studies of Programmers, Washington, D. C., June.
Cooke, N. M. & Schvaneveldt, R. W. (1987). The application of empirically derived semantic networks to knowledge engineering. In F. Durso (chair), Knowledge structures: What are they good for? Paper presented at the meetings of the Southwestern Psychological Association, New Orleans, April.
Cooke, N. M., & McDonald, J. E. (1986). A formal methodology for acquiring and representing expert knowledge. Proceedings of the IEEE, 110, 1422-1430.
Cooke, N. M., & Schvaneveldt, R. W. (1988). Effects of computer programming experience on network representations of abstract programming concepts. International Journal of Man-Machine Studies, 29, 407-427.
Cooke, N. M., Durso, F. T., & Schvaneveldt, R. W. (1985). Measures of Memory Organization and Recall. Memorandum in Computer and Cognitive Science, MCCS-85-11, Computing Research Laboratory, New Mexico State University.
Cooke, N. M., Durso, F. T., & Schvaneveldt, R. W. (1986). Recall and measures of memory organization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 538-549.
Cooke, Nancy J., Neville, Kelly J. & Rowe, Anna L. (1996). Procedural network representations of sequential data. Human-Computer Interaction, 11(1), 29-68.
Cooke, Nancy J., Salas, Eduardo, Cannon-Bowers, Janis A. & Stout, Renée J. (2000). Measuring team knowledge. Human Factors, 42, 151-173.
Cooke, Stout, Rivera & Salas (1998). Exploring measures of team knowledge. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 42( 3), 215-219.
Costagliola, G., De Rosa, M, Fuccella, V., & Perna, S. (2017). Visual languages: A graphical review. Information Visualization. Article first published online: July 9, 2017. DOI: https://doi.org/10.1177/1473871617714520
Creager, J. H., & Furlough, C. S. (2015). Medical mental models: An assessment of condition and treatment knowledge structures with implications for app design. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, 4(1), 50-54.
Cribbin, T. (2010). Visualising the structure of document search results: A comparison of graph theoretic approaches. Information Visualization, 9(2), 83-97.
Curtis, Mary B. & Davis, Mark A. (2003). Assessing knowledge structure in accounting education: An application of Pathfinder associative networks. Journal of Accounting Education, 21(3), 185-195.
d'Appolonia, Sylvia T., Charles, Elizabeth S. & Boyd, Gary M. (2004). Acquisition of complex systemic thinking: Mental models of evolution. Educational Research and Evaluation, 10(4-6), 499-521.
Davis, F. D., & Yi, M. Y. (2004). Improving computer skill training: Behavior modeling, symbolic mental rehearsal, and the role of knowledge structures. Journal of Applied Psychology, 89(3), 509-523.
Davis, Mark A., Curtis, Mary B. & Tschetter, Jeffrey D. (2003). Evaluating cognitive outcomes: Validity and utility of structural knowledge assessment. Journal of Business and Psychology, 18(2), 191-206.
Day, Eric A., Arthur Jr., Winfred & Gettman, Dennis (2001). Knowledge structures and the acquisition of a complex skill. Journal of Applied Psychology, 86(5), 1022-1033.
Dearholt, D. W. (1998). The cumulative consensus of cognitive agents in scenarios: A framework for evolutionary processes in semantic memory. International Conference on Evolutionary Programming, EP 1998: Evolutionary Programming VII, 1-12.
Dearholt, D. W., Alt, K.J., Halpin, R. F., & Oliver, R. L. (2004). Foundational Aspects of Student‐Controlled Learning: A Paradigm for Design, Development, and Assessment Appropriate for Web‐Based Instruction. Journal of Engineering Education, 93(2), 129-138.
Dearholt, D. W., & Schvaneveldt, R. W. (1990). Properties of pathfinder networks. In R. Schvaneveldt (Ed. ), Pathfinder associative networks: Studies in knowledge organization. (pp. 1-30). Norwood, NJ: Ablex.
Dearholt, D. W., Schvaneveldt, R. W., & Durso, F. T. (1985). Properties of Networks Based on Proximities. Memorandum in Computer and Cognitive Science, MCCS-85-14, Computing Research Laboratory, New Mexico State University.
DeFranco, J. F., Neill, C. J., & Clariana, R. B. (2011). A cognitive collaborative model to improve performance in engineering teams—A study of team outcomes and mental model sharing. Systems Engineering, 14 (3), 267-278.
DiCerbo, K. (2007). Knowledge structures of entering computer networking students and their instructors. Journal of Information Technology Education: Research, 6 (1), 263-277.
Di Stefano, G., Gambardella, A., & Verona, G. (2012). Technology push and demand pull perspectives in innovation studies: Current findings and future research directions. Research Policy, 41 (8), 1283-1295.
Dozortsev, V., & Mironova, A. (2019). Operators' structural knowledge evaluation as a feedback in computer-based training in context of the novel "Anna Karenina." Industrial Simulation Conference, Lisbon, Portugal, pp 26-31.
Dozortsev, V., Nazin, V., Oboznov, A., & Mironova, A. (2017). Structural knowledge as an evaluation instrument of trainees progress in learning. 11th IEEE International Conference "Application of Information and Communication Technologies" (AICT2017), At Moscow, Volume: 2, pp.275-279.
Durso, F. T., Schvaneveldt, R. W., & Goldsmith, T. E. (1983). Empirical networks of natural categories. Paper presented at the meetings of the Southwestern Psychological Association, San Antonio, April.
Durso, F.T., Rea, C.B. & Dayton, T. (1994). Graph-theoretic confirmation of restructuring during insight. Psychological Science, 5(2), 94-98.
Edwards, R. L. (2009). Exploring Novice Engineers' Mental Models of Collaboration and Engineering Design. A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of MASTER of ARTS, University of Victoria.
Edwards, B. D., Day, E. A., Arthur Jr, W., & Bell, S. T. (2006). Relationships among team ability composition, team mental models, and team performance. Journal of Applied Psychology, 91 (3), 727.
Engerman, J. A., Rusek, M. C., & Clariana, R. (2014). Excel spreadsheets for algebra: improving mental modeling for problem solving. Journal of Computers in Mathematics and Science Teaching, 33 (4), 409-427.
English, D., & Branaghan, R. J. (2012). An empirically derived taxonomy of pilot violation behavior. Safety Science, 50 (2), 199-209.
Evans, A. Williams, Jentsch, Florian, Hitt II, James M., Bowers, Clint & Salas, Eduardo (2001). Mental model assessments: Is there convergence among different methods? Proceedings of the Human Factors and Ergonomics Society 45 th Annual Meeting, pp 293-296.
Fabricius, W. V., Nagoshi, C. T., & Mackinnon, D. P. (1997). Concepts of drugs: differences in conceptual structure across groups with different levels of drug experience. Addiction, 92 (7), 847-858.
Fesel, S.S., Segers, E., Clariana, R.B., & Verhoeven, L. (2015). Quality of children's knowledge representations in digital text comprehension: Evidence from Pathfinder networks. Computers in Human Behavior, 48 , 135-146.
Fowler R. H., Fowler, W. A. L., & Williams, J. L. (1996). 3D Visualization of WWW Semantic Content for Browsing and Query Formulation. Journal of Network and Computer Applications, 20(2). DOI 10.1006/jnca.1997.0042. Conference: WebNet 96 - World Conference of the Web Society.
Freeze, R. D., & Bristow, S. E. (2018). ERP Knowledge: Enhancing Program Growth for Workforce Impact. Proceedings of the 51st Hawaii International Conference on System Sciences, pp. 4339-4347.
Furlough, C. S., & Gillan, D. (2018). Mental models: Structural differences and the role of experience. Journal of Cognitive Engineering and Decision Making. DOI 10.1177/1555343418773236
Gallo, M. (2016). Text summarization by machine learning. Bachelor's Thesis, Masark University, Faculty of Informatics.
Gaultieri, J., Fowlkes, J., & Ricci, K. E. (1996). Measuring individual and team knowledge structures for use in training. Training Research Journal, 2, 117-141.
Geer, J. H. (1996). Gender Differences in the Organization of Sexual Information. Archives of Sexual Behavior, 25(1), 91-107.
Geer, J. H., & Manguno-Mire, G. (1996). Gender differences in cognitive processes in sexuality. Annual Review of Sex Research, 7, 211-245
Geske, Jenenne A. (2001). "The structure of introductory
statistics knowledge: An investigation exploring students' and
experts' cognitive organization using multidimensional scaling and
pathfinder analyses" (January 1, 2001). ETD collection
for University of Nebraska - Lincoln. Paper AAI3009717.
Giamellaro, M. (2012). Deep immersion academic learning (DIAL): An analysis of science learning in context (Doctoral Dissertation). University of Colorado Denver.
Giamellaro, M. (2013a). Student use of facilitated versus peripheral learning opportunities to develop conceptual science knowledge In contextualized, outdoor settings. Presented at the Conference of the European Science Education Research Association, Nicosia, Cyprus.
Giamellaro, M. (2013b). The Role of the Physical Environment in Contextualizing Science Learning. Presented at the NARST Annual International Conference, Rio Grande, PR.
Giamellaro, M. (2014a). Primary Contextualization of Science Learning through Immersion in Content-Rich Settings. International Journal of Science Education , 36 (17), 2848–2871. http://doi.org/10.1080/09500693.2014.937787
Giamellaro, M. (2014b). Science learning and levels of contextualization. Presented at the National Association for Research in Science Teaching Annual International Conference, Pittsburgh, PA. http://doi.org/10.13140/RG.2.1.1688.0482
Gillan, D. J., & Cooke, N. J. (2001). Using Pathfinder networks to analyze procedural knowledge in interactions with advanced technology. Advances in Human Performance and Cognitive Engineering Research, 1, 125-161.
Gillan, D. J., Breedin, S. D., & Cooke, N. M. (1992). Network and multidimensional representations of the declarative knowledge of human-computer interface design experts. International Journal of Man-Machine Studies, 36, 587-615.
Gilman, E. M., & Gillan, D. J. (2001, October). Metaphors as Tools for Restructuring Knowledge: Metaphor-Based Learning about Computer Systems. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 45, No. 6, pp. 612-616). SAGE Publications.
Godwin, A. (2016). Visualizing systematic literature reviews to identify new areas of research. 2016 IEEE Frontiers in Education Conference (FIE) , Eire, PA, USA, 2016, pp. 1-8. doi: 10.1109/FIE.2016.7757690
Golding, J. M., Wasarhaley, N. E., Lynch, K. R., Lippert, A., & Magyarics, C. L. (2015). Improving the credibility of child sexual assault victims in court: The impact of a sexual assault examiner. Behavioral Sciences & the Law, 33(4), 493-507.
Goldsmith, T., & Schvaneveldt, R. (1988). Modeling expertise in air combat maneuvering. Paper presented at the 11th Biennial Psychology in the Department of Defense Symposium, U. S. Air Force Academy, Colorado Springs, April.
Goldsmith, T., Johnson, P. & Acton, W. (1991). Assessing structural knowledge. Journal of Educational Psychology, 83(4), 88-96.
Gomez, R. L., & Schvaneveldt, R. W. (1994). What is learned from artificial grammars? Transfer tests of simple association. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20 (2), 396-410.
Gomez, R. L., (1993). An empirical evaluation of association networks as memory and information retrieval aids. Memoranda in Computer and Cognitive Science, MCCS-93-269. New Mexico State University, Las Cruces.
Gomez, R. L., (1993). Pedagogical knowledge structures in prospective teachers. ERIC Clearinghouse on Teacher Education, Resources in Education, Report No. ED351307.
Gomez, R. L., Hadfield, O. D., & Housner, L. D. (1996). Conceptual maps and simulated teaching episodes as indicators of competence in teaching elementary mathematics. Journal of Educational Psychology, 88, 572-585.
Gomez, R. L., Schvaneveldt, R. W., & Staudenmayer, H. (1994). Assessing beliefs about “Multiple Chemical Sensitivity.” Paper presented at the annual meetings of the Rocky Mountain Psychological Association, Las Vegas, April.
Gomez, R. L., Schvaneveldt, R. W., & Staudenmayer, H. (1996). Assessing beliefs about 'environmental illness/multiple chemical sensitivity'. Journal of Health Psychology, 1(1), 107-123.
Gomez, R. L., Thompson, L. A., & Schvaneveldt, R. W. (1993). How children organize their knowledge of everyday events: Exploring the generality of event representations. Poster presented at the meetings of the Society for Research in Child Development, New Orleans, March.
Gonzalvo, P., Canas, J., & Bajo, M. T. (1994). Structural representations in knowledge acquisition. Journal of Educational Psychology, 86(4), 601-616.
Gouravajhala, Reshma (2017) Exploring the Underlying Mechanisms of Structure Building. Arts & Sciences Electronic Theses and Dissertations. 1179. https://openscholarship.wustl.edu/art_sci_etds/1179/
Großschedl, J., & Harms, U. (2013). Assessing conceptual knowledge using similarity judgments. Studies in Educational Evaluation, 39 (2), 71-81.
Gualtieri, J., Burns, J., Phipps, D., Reeves, D., & Pierce, L. (1998, October). Assessing team knowledge structures: Findings from the field. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 42, No. 20, pp. 1417-1421). SAGE Publications.
Guerrero-Bote, V., Zapico-Alonso, F., Espinosa-Calvo, M., Crisostomo, R. & Moya-Anegon, F. (2006) Binary Pathfinder: An improvement to the Pathfinder algorithm. Information Processing and Management, 42(6), 1484–1490.
Gulacar. O., Milkey, A., & Eilks, I. (2020). Exploring Cluster Changes in Students’ Knowledge Structures Throughout General Chemistry. EURASIA Journal of Mathematics, Science and Technology Education, 16(6), em1850 ISSN:1305-8223 (online) https://doi.org/10.29333/ejmste/7860
Gulacar. O., Milkey, A., & McLane, S. (2019). Exploring the effect of prior knowledge and gender on undergraduate students' knowledge structures in chemistry. Eurasia Journal of Mathematics, Science, and Technology Education. 15, DOI: https://doi.org/10.29333/ejmste/106231
Gutierrez, F., Pierce, J., Vergara, V. M., Coulter, R., Saland, L., Caudell, T. P, Goldsmith, T. E., & Alverson, D. C. (2007). The effect of degree of immersion upon learning performance in virtual reality simulations for medical education. In J.D. Westwood et al. (Eds), Medicine Meets Virtual Reality 15. IOS Press.
Hansberger, J. T., & Schreiber, C. (2014). A Human-Centered Command and Control (C2) Assessment of an Experimental Campaign Planning Tool (No. ARL-TR-6900). ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD HUMAN RESEARCH AND ENGINEERING DIRECTORATE.
Hansberger, J. T., Schreiber, C., & Spain, R. D. (2008). C2 Network Analysis: Insights into Coordination & Understanding. ARMY RESEARCH LAB SUFFOLK VA.
Hasimu, H., Marchesini, S., & Canavari, M. (2016). A concept mapping study on organic food consumers in Shanghai, China. Appetite, 108, 191-202.
Hauguel, S., Zhai, C., & Han, J. (2009). Parallel Path Finder Algorithms for mining structures from Graphs. ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009. DOI 10.1109/ICDM.2009.142
Housner, L. D., Gomez, R. L., & Griffey, D. C. (1993). A Pathfinder analysis of expert-novice knowledge. Proceedings of the Meeting on the National American Alliance for Health, Physical Education, Recreation and Dance, 64, Supplement, A-88 - A-89.
Housner, L. D., Gomez, R. L., & Griffey, D. C. (1993). A Pathfinder analysis of pedagogical knowledge structures: A follow-up investigation. Research Quarterly for Exercise and Sport, 64(3), 291-299.
Housner, L. D., Gomez, R. L., & Griffey, D. C. (1993). Pedagogical knowledge growth in prospective teachers: Relationships to performance in a teaching methodology course. Research Quarterly for Exercise and Sport, 64(2), 167-177.
Ifenthaler, D. (2014). AKOVIA: Automated knowledge visualization and assessment. Technology, Knowledge, and Learning, 19(1), 241-248.
Ifenthaler D., Pirnay-Dummer P. (2014). Model-Based Tools for Knowledge Assessment. In: Spector J., Merrill M., Elen J., Bishop M. (eds) Handbook of Research on Educational Communications and Technology. Springer, New York, NY
Insel, K. C., Meek, P. M., & Leventhal, H. (2005). Differences in illness representation among pulmonary patients and their providers. Journal of Health Psychology, 10 (1), 147-162.
Jafari, M., Akhavan, P., & Nourizadeh, M. (2013). Classification of human resources based on measurement of tacit knowledge: An empirical study in Iran. Journal of Management Development, 32 (4), 376-403.
Johnson, P., Goldsmith, T. & Teague (1994). Locus of the predictive advantage in Pathfinder-based representations of classroom knowledge. Journal of Educational Psychology, 86(4), 617-626.
Jonassen, D. H., Beissner, K., & Yacci, M. (1993 ). Structural knowledge: Techniques for representing, conveying, and acquiring structural knowledge. Hillsdale, NJ: Erlbaum.
Justica, F., & Nievas, F. (2003). Development of memory structures for homographs using pathfinder network representations. The Spanish Journal of Psychology, 6(01), 12-27.
Kahler, Susan E. (2002). A comparison of knowledge acquisition methods for the elicitation of procedural mental models. Unpublished doctoral dissertation, North Carolina State University, Raleigh, North Carolina.
Kang, Beomil & Lee, Jae Yun (2014). A bibliometric analysis on Twitter research. Journal of the Korean Society for Information Management, 31(3), 293-311.
Kaur, R. ( 2017). Bibliometric Analysis for the field of City Logistics: Study of Procedia -Journal of Social and Behavioral Sciences, 2010-2016. Masters thesis, Concordia University
Kilvighan, D.M. Jr & Kilvighan, D. M. III (2010). Are group leader knowledge structures related to satisfaction with the leader? Small Group Research, 41(2), 175-197.
Kilvighan, D.M. Jr., Markin, R. D., Stahl, J. V., & Salahuddin, N. M. (2007). Changes in the ways that group trainees structure their knowledge of group members with training. Group Dynamics: Theory, Research, and Practice, 11(3), 176-186.
Kivlighan Jr, D. M., & Tibbits, B. M. (2012). Silence is mean and other misconceptions of group counseling trainees: Identifying errors of commission and omission in trainees' knowledge structures. Group Dynamics: Theory, Research, and Practice, 16 (1), 14-34.
Kim, E. H., & Kim, S. (2016). An effective approach to finding a context path in review texts using Pathfinder scaling. Social Informatics: 8th International Conference, SocInfo 2016, Bellevue, WA, USA, November 11-14, 2016, Proceedings, Part I.
Kim, K. (2017). An automatic measure of cross-language text structures. Technology, Knowledge, and Learning, pp 1-14. DOI : 10.1007/s10758-017-9320-5
Kim, K., & Clariana, R.B. (2015). Knowledge structure measures of reader's situation models across languages: Translation engenders richer structure. Technology, Knowledge and Learning, 20(2), 249-268.
Kim, K. & Clariana, R.B. (2018). Educational Technology Research and Development. https://doi.org/10.1007/s11423-018-9607-9
Kim, M. K., Gaul, C. J., Kim, S. M., & Madathany, R. J. (2019). Advance in Detecting Key Concepts as an Expert Model: Using Student Mental Model Analyzer for Research and Teaching (SMART). Technology, Knowledge and Learning: https://doi.org/10.1007/s10758-019-09418-5
Kim, P. J., Lee, J. Y., & Park, J. H. (2009). Developing a new collection - evaluation method: Mapping and the user - side h - index. Journal of the American Society for Information Science and Technology, 60 (11), 2366-2377.
Kivlighan, D. M. Jr. & Kivlighan, D. M. III (2009). Training related changes in the ways that group trainees structure their knowledge of group counseling leader interventions. Group Dynamics: Theory, Research and Practice, 13(3), 190-204.
Knoebel, A., Dearholt, D., & Schvaneveldt, R. (1988). Empty nexus graphs. Paper presented at the American Mathematical Society meetings, Las Cruces, NM, April.
Kokoski, T. M., & Housner, L. D. (1994). Pathfinder Analysis of Knowledge Structures: An Exploratory Investigation of Math and Science Teacher Educators. Paper presented at the Annual Meeting of the American Educational Research Association (NewOrleans, LA, April 4-8). Retrieved online at http://eric.ed.gov/?id=ED376218
Koponen, I. T., & Nousiainen, M. (2019). Pre-Service Teachers' Knowledge of Relational Structure of Physics Concepts: Finding Key Concepts of Electricity and Magnetism. Education Sciences, 9, 18; doi:10.3390/educsci9010018 www.mdpi.com/journal/education
Kraiger, Kurt, Salas, Eduardo & Cannon-Bowers, Janis A. (1995). Measuring knowledge organization as a method for assessing learning during training. Human Factors, 37(4), 804-816.
Kudikyala U.K., Bugudapu M., Jakkula M. (2018) Graphical Structure of Bayesian Networks by Eliciting Mental Models of Experts. In: Satapathy S., Bhateja V., Das S. (eds) Smart Computing and Informatics. Smart Innovation, Systems and Technologies, vol 77. Springer, Singapore
Kudikyala, Udai K. & Vaughn, Rayford B. Jr. (2004). Software requirements understanding using Pathfinder networks as mental models. ASEE Southeast Section Conference 2004.
Langan - Fox, J., Platania - Phung, C., & Waycott, J. (2006). Effects of advance organizers, mental models and abilities on task and recall performance using a mobile phone network. Applied Cognitive Psychology, 20 (9), 1143-1165.
Lau, W. & Yuen, A. (2009). Predictive validity of measures of the Pathfinder scaling algorithm on programming performance: Alternative assessment strategy for programming education. Journal of Educational Computing Research, 41(2), 227-250.
Lau, W. W., & Yuen, A. H. (2010). Promoting conceptual change of learning sorting algorithm through the diagnosis of mental models: The effects of gender and learning styles. Computers & Education, 54 (1), 275-288.
Lau, W. W., & Yuen, A. H. (2011). Modelling programming performance: Beyond the influence of learner characteristics. Computers & Education, 57 (1), 1202-1213.
Lee, J. Y., & Choi, S-H. (2011). Intellectual Structure and Infrastructure of Informetrics: Domain Analysis from 2001 to 2010. Journal of the Korean Society for information Management, 28(2).
Lee, M. R., & Chen, T. T. (2013). Understanding social computing research. IT Professional, 15(6), 56-62.
Le Grand, A. M., Jenkins, B. D., Golding, J. M., Neuschatz,J. S., Pals, A. M., & Wetmore, S. A. (2021). The Sobering Effects of Jailhouse Informant Testimony on Perceptions of an Intoxicated Rape Victim, Basic and Applied Social Psychology, DOI: 10.1080/01973533.2021.1896520
Letsky, M. P., Warner, N. W., Fiore, S. M., & Smith, C. A. P. (2008 - also 2016, 2017). Macrocognition in Teams: Theories and Methodologies. New York: Routledge.
Lewis, James R., Kennedy, Peter J. & LaLomia, Mary J. (1999). Development of a diagram-based typing key layout for single finger/stylus input. Proceedings of the Human Factors Society 43 rd Annual Meeting, 43(5), 415-419.
Liebrand, W. B. (1992). How to improve our understanding of group decision making with the help of artificial intelligence. Acta Psychologica, 80 (1), 279-295.
Lim, B.-C., & Klein, K. J. (2006). Team mental models and team performance: A field study of the effects of team mental model similarity and accuracy. Journal of Organizational Behavior, 27(4), 403–418.
Lippert, A., & Golding, J. (2016). Scamming elders: The effect of eyewitness testimony on courtroom perceptions of elder financial abuse. American Journal of Forensic Psychology, 34(2), 1-5.
Lippert, A., Golding, J., Lynch, K., & Haak, E. (2018). When a corporation rapes: perceptions of rape in civil court for corporate defendants. Psychology, Crime & Law. (online).
Loi, M., Castriotta, M, & Di Guardo, M. C. (2016). The theoretical foundations of entrepreneurship education: How co-citations are shaping the field. International Small Business Journal, 34(7), 948-971. doi: 10.1177/0266242615602322
Magyarics, C. L. , Lynch, K. R., Golding, J. M., & Lippert, A. (2015). The impact of frequency of behavior and type of contact on judgments involving a criminal stalking case. Law and Human Behavior. 39(6), 602-613. doi: 10.1037/lhb0000151
Mane, Ketan K. & Borner, Katy. (2004). Mapping topics and topic bursts in PNAS. Proceedings of the National Academy of Sciences of the United States of America, 101 (Suppl. 1, April 6), 5287-5290.
Manguno, G. M. & Geer, J. H. (1998). Network knowledge organization: Do knowledge structures of sexual and emotional information reflect gender or sexual orientation. Sex Roles, 39, 705-729.
Marchesini, S., Hasimu, H., &Canavari, M. (2012). Perceptual maps analysis for organic food comsumers in China: A study on Shanghai consumers. IFAMA 2012 - 22nd Annual World Forum and Symposium "The Road to 2050 - The China Factor", At Shanghai, P.R. of China.
Marion, L. S., & McCain, K. W. (2001). Contrasting views of software engineering journals: Author cocitation choices and indexer vocabulary assignments. Journal of the American Society for Information Science and Technology, 52 (4), 297-308.
Marineau, J. E., & Nordstrom, O. (2018). Shared mental models and cultural consensus in an entrepreneurial ecosystem: an empirical approach. Academy of Management Annual Meeting Proceedings, (1):17367 DOI: 10.5465/AMBPP.2018.17367
Ma Ruimin & Zhang Xin (2016). Discovering the knowledge communication main path of a domain based on Pathfinder algorithm. Journal of the China Society for Scientific and Technical Information, 35(8), 856-863.
Martin, T., Riley, M. E., Kelly, K. N., & Huxlin, K. R. (2008). Visually-guided behavior of homonymous hemianopes in a naturalistic task. Vision Research, 47(28), 3434-3446.
Martínez-Zarzuelo, Angélica; Roanes-Lozano, Eugenio; Fernández-Díaz, Maria José (2016). A computer approach to mathematics curriculum developments debugging. Eurasia Journal of Mathematics, Science & Technology Education. 12 (12), 2961-2974.
Mason-Mason, S. D., & Tessmer, M. A. (2000). Expert systems as a mindtool to facilitate mental model learning. Educational Technology Research and Development, 48 (4), 43-62.
McCain, K. W. (1995). The structure of biotechnology R & D. Scientometrics, 32, 153-175.
Mccain, K., & Mccain, R. A. (2005). Mapping "A Beautiful Mind:" a Comparison of the Author Cocitation PFNets for John Nash, John Harsanyi, and Reinhard Selten - The Three Winners of the 1994 Nobel Prize for Economics. Proceedings of the American Society for Information Science and Technology 39(1):552 - 553 · November 2005.
McCain, K. W., Verner, J. M., Hislop, G. W., Evanco, W., & Cole, V. (2005). The use of bibliometric and knowledge elicitation techniques to map a knowledge domain: Software engineering in the 1990s. Scientometrics, 65 (1), 131-144.
McDonald, J. E., & Schvaneveldt, R. W. (1988). The application of user knowledge to interface design. In R. Guindon (Ed.), Cognitive Science and Its Applications for Human-Computer Interaction, Hillsdale, NJ: Erlbaum.
McDonald, J. E., & Schvaneveldt, R. W. (1993). Information retrieval using associative networks: A natural-intelligence approach. Memorandum in Computer and Cognitive Science, MCCS-93-265, Computing Research Laboratory, New Mexico State University.
McDonald, J. E., Dearholt, D. W., Paap, K. R., & Schvaneveldt, R. W. (1986). A formal interface design methodology based on user knowledge. Proceedings of CHI '86, 285-290.
McDonald, J. E., Plate, T. A., & Schvaneveldt, R. W. (1990). Using Pathfinder to extract semantic information from text. In R. Schvaneveldt (Ed.), Pathfinder associative networks: Studies in knowledge organization. (pp. 149-164). Norwood, NJ: Ablex.
McDonald, J., Dearholt, D., Paap, K., & Schvaneveldt, R. (1986). A formal interface design methodology based on user knowledge. CHI '86, Boston, May.
McDougall, Siné, de Bruijn, Oscar, Curry, Martin (1999). Finding out what users really think: using cognitive modelling to improve icon design. In D, Harris, (Ed.), Engineering Psychology and Cognitive Ergonomics: Volume 4 - Job Design and Human-Computer Interaction. Ashgate Publishing, pp. 173-180.
McDougall, Siné J. P., Curry, Martin B, & de Bruijn, Oscar (2001). The Effects of Visual Information on Users' Mental Models: An Evaluation of Pathfinder Analysis as a Measure of Icon Usability. International Journal of Cognitive Ergonomics, 5(1), 59-84.
McGaghie, W. C., Boerger, R. L., McCrimmon, D. R., & Ravitch, M. M. (1996). Learning pulmonary physiology: Comparison of student and faculty knowledge structures. Academic Medicine, 71 (Jan.), s13-s15.
McGaghie, William C., McCrimmon, Donald R., Mitchell, Gordon, Thompson, Jason A. & Ravitch, Michael M. (2000). Quantitative concept mapping in pulmonary physiology: Comparison of student and faculty knowledge structures. Advances in Physiology Education, 23(1), 72-81.
McGreevy, M. W. (1995). A Relational Metric, Its Application to Domain Analysis and an Example Analysis and Model of a Remote Sensing Domain. NASA TM-110358. Ames Research Center, Moffett Field, California.(61 pages)
Mcneil, S. (2014). Visualizing mental models: Understanding cognitive change to support teaching and learning of multimedia design and development. Educational Technology Research and Development, 63(1).
Meyer, B., & Sugiyama, K. (2007). The concept of knowledge in KM: a dimensional model. Journal of Knowledge Management, 11(1), 17-35.
Miles, J. R., & Kivlighan Jr, D. M. (2008). Team cognition in group interventions: The relation between coleaders' shared mental models and group climate. Group Dynamics: Theory, Research, and Practice, 12 (3), 191.
Minguet, F., Salgado, T. M., Santopadre, C., & Fernandez-Llimos, F. (2017). Redefining the pharmacology and pharmacy subject category in the journal citation reports using medical subject headings (MeSH). International Journal of Clinical Pharmacy, August 2017. https://doi.org/10.1007/s11096-017-0527-2
Minguillo, D. (2010). Toward a new way of mapping scientific fields: Authors' competence for publishing in scholarly journals. Journal of the American Society for Information Science and Technology, 61 (4), 772-786.
Mohammed, S., Ferzandi, L., & Hamilton, K. (2010). Metaphor no more: A 15-year review of the team mental model construct. Journal of Management, 36, 876-910. DOI: 10.1177/0149206309356804
Mohammed, S., Klimoski, R., & Rentsch, J. R. (2000). The measurement of team mental models: We have no shared schema. Organizational Research Methods, 3 (2), 123-165.
Morales-Martinez, G. E., & Lopez-Ramirez, E. O. (2016). Cognitive responsive e-assessment of constructive e-learning. Journal of e-Learning and Knowledge Society, 12(4), 39-49.
Morris, Margaret E., Goldsmith, Timothy E., Roll, Samuel & Smith, Jane Ellen (2001). A model for assessing the self-schemas of restrained eaters. Cognitive Therapy and Research, 25(2), 201-214.
Moya, I., Chica, M., & Cordón, Ó. (2019).
Moya-Anegón, Félix de, Vargas-Quesada, Benjamín, Chinchilla-Rodríguez, Zaida, Corera-Álvarez, Elena, & Munoz-Fernández, Francisco J. (2007). Visualizing the marrow of science. Journal of the American Society for Information Science and Technology, 58(14), 2167-2179.
Muehling, A. (2017). Concept landscapes - A new way of using concept maps. Journal of Educational Data Mining, 9(2), 1-30.
Nash, J. G., & Nash, J. M. (2003). A structural representation of migraine diagnostic criteria: The experts' view. Headache: The Journal of Head and Face Pain, 43 (4), 322-329.
Nash, J. G., Bravaco, R. J., & Simonson, S. (2006). Assessing knowledge change in computer science. Computer Science Education, 16 (1), 37-51.
Nerur, S. P., Rasheed, A. A., & Natarajan, V. (2008). The intellectual structure of the strategic management field: An author co-citation analysis. Strategic Management Journal, 29(3), 319-336.
Neville, K. J. (1993). The measurement of complex knowledge development. Unpublished master's thesis, Rice University, Houston, TX.
Neiles, K. Y., Todd, I., & Bunce, D. M. (2016). Establishing the validity of using network analysis software for measuring students' mental storage of chemistry concepts. Journal of Chemical Education, DOI: 10.1021/acs.jchemed.5b00748
Nievas, F., & Justicia, F. (2003). Development of memory structures for homographs using Pathfinder network representations. The Spanish Journal of Psychology, 6 (1), 12-27.
Ober, B., & Shenaut, G. K. (1999). Well-organized conceptual domains in Alzheimer's disease. Journal of the International Neuropsychological Society, 5(7), 676-684.
Olmeda-Gómez, C., Ovalle-Perandones, M-A., & Perianes-Rodríguez, A. (2017). Co-word analysis and thematic landscapes in Spanish information science literature, 1985–2014. Scientometrics, August 14, 2017, 1-23. https://doi.org/10.1007/s11192-017-2486-8
Olson, J. R., & Biolsi, K. J. (1991). 10 Techniques for representing expert knowledge. Toward a general theory of expertise: Prospects and limits, 240. Can be viewed online at: http://books.google.com/books?hl=en&lr=&id=YaXOdNnCmA4C&oi=fnd&pg=PA240&dq=Pathfinder+network+scaling&ots=HGlNVZTFHX&sig=kcPFlzEtnvJhwpewe_vIrFJTN-0#v=onepage&q=Pathfinder%20network%20scaling&f=false
Ozgungor, S., & Guthrie, J. T. (2004). Interactions among elaborative Interrogation, knowledge, and interest in the process of constructing knowledge from text. Journal of Educational Psychology, 96 (3), 437-443.
Pancho, D. P., Alonso, J. M., Cordo´n, O., Quirin, A., & Magdalena, L. (2013). FINGRAMS: visual representations of fuzzy rule-based inference for expert analysis of comprehensibility. IEEE Transactions on Fuzzy Systems , 21(6), 1133-1149.
Pancho, D. P., Alonso, J. M., & Magdalena, L. (2013). Quest for interpretability-accuracy trade-off supported by Fingrams into the Fuzzy Modeling Tool GUAJE. International Journal of Computational Intelligence Systems, 6, 46-60.
Patil, Kaustubh R. (2007). Automatic text summarizing using Pathfinder network scaling. Unpublished master's thesis, University of Porto, Porto, Portugal.
Patil, K. R., & Brazdil, P. (2007). Sumgraph: Text summarization using centrality in the Pathfinder network. IADS International Journal on Computer Science and Information Systems, 2(1), 18-32.
Patil, K. R., & Kulkarni, A. J. (2007). A simple visualization technique to understand the system dynamics in bioreactors. Biotechnology Progress, 23(5), 1101-1105.
Paul, Jim & Merillat, Linda (2003). Moderating effects of ITV on relationships among learning and performance in management education. Submitted to: Management Education and Development Division, Academy of Management, January 2003. Retrieved online at: http://info.com/docs/Moderating_Effects_of_ITV.pdf
Paulsen, J., Romero, R. Chan, A., Davis, A., Heaton, R, & Jeste, D. (1996). Impairment of the semantic network in schizophrenia. Psychiatry Research, 63(2-3), 109-121.
Pinkerton, K. D. (1998). Network similarity (NETSIM) as a method of assessing structural knowledge for large groups. Journal of Interactive Learning Research, 9(3/4), 249-269.
Poindexter, M. T., & Clariana, R.B. (2006). The influence of relational and proposition-specific processing on structural knowledge and traditional learning outcomes. International Journal of Instructional Media, 33 (2), 177-184.
Phoha, S. (1999). Information quality control for network centric ship maintenance. Proceedings of the American Control Conference, 5, 3142-3146.
Pratt, D., Gooding, P., Johnson, J., Taylor, P., & Tarrier, N. (2010). Suicide schemas in non-affective psychosis: An empirical investigation. Behaviour Research and Therapy, 48 (12), 1211-1220.
Puerta Melguizo, M. C., Chisalita, C., & van der Veer, G. (2002). Assessing users mental models in designing complex systems. Conference: Systems. Man. and Cybernetics, 2002 IEEE International Conference on, Volume 7. DOI: 10.1109/ICSMC.2002.1175734.
Puntambekar, S., & Goldstein, J. (2007). Effect of visual representation of the conceptual structure of the domain on science learning and navigation in a hypertext environment. Journal of Educational Multimedia and Hypermedia, 16 (4), 429-459.
Puntambekar, S., & Stylianou, A. (2003). Desiging metacognitive support for learning from hypertext: What factors come into play? Proceedings of the Workshop on Metacognition and Self-Regulation in Learning with Metacognitive Tools at the International Conference on Artificial Intellegence in Education (AIED). Sidney, Australia.
Pybus, L., Welk, A. K., & Gillan, D. J. (2016). Differences in mental model development among psychology and engineering students of a human factors course. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, September 2016, 60(1), 361-365.
Quirin, A., & Cordon, O. (2010). Vmap-Layout, a layout algorithm for drawing scientograms. In A. Abraham, A. E. Hassanien, & V. Snasel (Eds.), Computational Social Networks Analysis: Trends, Tools and Research Advances, 241-266.
Quirin, A., Cordon, O., Guerrero-Bote, V., Vargas-Quesada, B. & Moya-Anegon, F. (2008). A quick MST-based algorithm to obtain Pathfinder networks. Journal of the American Society for Information Science and Technology, 59(12), 1912-1924.
Quirin, A., Cordón, O., Santamaría, J., Vargas-Quesada, B., & Moya-Anegón, F. (2008). A new variant of the pathfinder algorithm to generate large visual science maps in cubic time. Information Processing & Management, 44(4), 1397–1409.
Qun Ren, Feifei Xu, Xiaowei Ji (2019). Use of the pathfinder network scaling to measure online customer reviews: A theme park study. Briefings in Entrepreneurial Finance, 28(5), 333-344.
Rather, Bruce C.; Goldman, Mark S. (1991). Differences in memory organization and structure of alcohol expectancies. Paper presented at the 99 th Annual Convention of the American Psychological Association, San Francisco, CA, August 16-20. ERIC Number: ED334506; retrieved online at http://files.eric.ed.gov/fulltext/ED334506.pdf
Raudszus, H., Segers, E., & Verhoeven, L. (2019). Situation model building ability uniquely predicts first and second language reading comprehension. Journal of Neurolinguistics. https://doi.org/10.1016/j.jneuroling.2018.11.003
Rayar, F, Barrat, S., Bouali, F., & Venturini, G. (2018). A Viewable Indexing Structure for the Interactive Exploration of Dynamic and Large Image Collections. ACM Transactions on Knowledge Discovery from Data (TKDD), 12(1) DOI: https://doi.org/10.1145/3047011
Razani, J., Chan, A., Nordin, S., & Murphy, C. (2010). Semantic networks for odors and colors in Alzheimer's disease. Neuropsychology, 24 (3), 291.
Reimer, V., & Schrader, C. (2019). Mental Model Development in Multimedia Learning: Interrelated Effects of Emotions and Self-Monitoring. Frontiers in Psychology, April, https://doi.org/10.3389/fpsyg.2019.00899
Rentsch, Joan R., Mot, Ioana & Abbe, Allison (2009). Identifying the core content and structure of a schema for cultural understanding. ARI Technical Report 1251, U.S. Army Research Institute for the Behavioral and Social Sciences, Arlington, VA.
Resick, C. J., Dickson, M. W., Mitchelson, J. K., Allison, L. K., & Clark, M. A. (2010). Team composition, cognition, and effectiveness: Examining mental model similarity and accuracy. Group Dynamics: Theory, Research, and Practice, 14 (2), 174.
Roldán, I. M., González, R. L., Ardila, L. M. S., & Carvalho, J. L. T. (2017). Evolución de las redes cognitivas en el aprendizaje del Sistema Métrico Decimal utilizando Redes Asociativas Pathfinder. Investigación Cualitativa en Educación, 1, 36-45.
Rose, J. M., McKay, B. A., Norman, C. S., & Rose, A. M. (2012). Designing decision aids to promote the development of expertise. Journal of Information Systems, 26 (1), 7-34.
Rose, Jacob M., Rose, Anna M. & McKay, Britton ((2007). Measurement of knowledge structures acquired through instruction, experience and decision aid use. International Journal of Accounting Information Systems, 8(2), 117-137.
Rowe, A. L., Cooke, N. J., Hall, E. P., & Halgren, T. L. (1996). Toward an on-line knowledge assessment methodology: Building on the relationship between knowing and doing. Journal of Experimental Psychology: Applied, 2(1), 31-47.
Rowe, A. L., Meyer, T. N., Miller, T. M., & Steuck, K. (1997, October). Assessing Knowledge Structures: Don't Always Call an Expert. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 41, No. 2, pp. 1203-1207). SAGE Publications.
Rowe, Anna & Cooke, Nancy (1995). Measuring mental models: Choosing the right tool for the job. Human Resource Development Quarterly, 6(3), 243-255.
Rozemberczki, B., Englert, P., Kapoor, A., Blais, M., & Perozzi, B. (2017). Pathfinder Discovery Networks for Neural Message Passing. ACM Conference’17, July 2017, Washington, DC, USA.
Rye, James A. & Rubba, Peter A. (1998). An exploration of the concept map as an interview tool to facilitate the externalization of students' understandings about global atmospheric change. Journal of Research in Science Teaching, 35(5), 521-546.
Salmeron, L., Kintsch, W. & Kintsch, E. (2010). Self-regulation and link selection strategies in hypertext. Discourse Processes, 47(3), 175–211.
Salmeron, Ladislao, Kintsch, Walter & Canas, Jose (2006). Reading strategies and prior knowledge in learning from hypertext. Memory and Cognition, 34(5), 1157-1171.
Sánchez, M. J. (2004). Effect of instruction with expert patterns on the lexical learning of English as a foreign language. System, 32 (1), 89-102.
Sánchez, M. J., & Alonso, P. (2010). Effect of an expert and contextual instruction of modals in learning. Revista Espanola de Linguistica Aplicada, 23, 267-280.
Sánchez-Franco, M. J., Muñoz-Expósito, M., & Villarejo-Ramos, Á. F. (2017). "A knowledge structures exploration on social network sites" , Kybernetes, Vol. 46 Issue: 5 , doi: 10.1108/K-01-2016-0013
Sánchez-Franco, M. J., Navarro-García, A. and Rondán-Cataluña, F. J. (2016), Online Customer Service Reviews in Urban Hotels: A Data Mining Approach. Psychology & Marketing, 33: 1174–1186. doi: 10.1002/mar.20955
Scheffler, M., Brunzel, J. Destructive leadership in organizational research: a bibliometric approach. (2020). Scientometrics (2020). https://doi.org/10.1007/s11192-020-03621-3
Schneider, J. W. (2006). Concept symbols revisited: Naming clusters by parsing and filtering of noun phrases from citation contexts of concept symbols. Scientometrics, 68 (3), 573-593.
Scholcover, F. (2020). Using a Finite Mixture Model-Based Clustering Approach to Identify Move and Wait Strategies. Ph.D. Dissertation, North Carolina State University.
Schuelke, M. J., Day, E. A., McEntire, L. E., Boatman, P. R., Boatman, J. E., Kowollik, V., & Wang, X. (2009). Relating indices of knowledge structure coherence and accuracy to skill-based performance: Is there utility in using a combination of indices? Journal of Applied Psychology, 94 (4), 1076-1085. doi:10.1037/a0015113
Schvaneveldt, R. W. (1982). Structures of memory for critical flight information. Paper presented at the Review of Air Force Sponsored Basic Research, Air Force Office of Scientific Research, Sarasota, Florida.
Schvaneveldt, R. W. (1985). Empirically derived networks. Paper presented at a symposium, F. Durso (Chair), Human Expertise: Papers in Honor of William Chase. Meetings of the Southwestern Psychological Association, Austin, April.
Schvaneveldt, R. W. (1987). Proximities and schemata. Invited paper presented at the symposium: Recent Advances in Experimental Cognitive Psychology, Rocky Mountain Psychological Association Meetings, Albuquerque, April.
Schvaneveldt, R. W. (1987). Proximities, networks, and schemata. Paper presented at the 28th Annual Psychonomic Society Meetings, Seattle, November.
Schvaneveldt, R. W. (1988). Knowledge networks. Paper presented at the Centennial Symposium of the Department of Psychology, University of Wisconsin, September.
Schvaneveldt, R. W. (1988). Proximities, networks, and schemata. Paper presented at the Workshop on High-Level Connectionism, Las Cruces, NM, April.
Schvaneveldt, R. W. (1989). Assessing and using associative knowledge. Invited address presented at the 97th Annual American Psychological Association Convention, New Orleans, August.
Schvaneveldt, R. W. (1989). Pathfinder: Networks from proximity data. Paper presented at the 14th Annual Interdisciplinary Conference, Jackson Hole, Wyoming, January.
Schvaneveldt, R. W. (1989). Proximities, Networks, and Schemata. Memorandum in Computer and Cognitive Science, MCCS-89-149, Computing Research Laboratory, New Mexico State University.
Schvaneveldt, R. W. (1990). Proximities, networks, and schemata. In R. Schvaneveldt (Ed. ), Pathfinder associative networks: Studies in knowledge organization. (pp. 135-148). Norwood, NJ: Ablex.
Schvaneveldt, R. W. (2004). Finding meaning in psychology. In A. F. Healy (Ed.), Experimental cognitive psychology and its applications: Festschrift in honor of Lyle Bourne, Walter Kintsch, and Thomas Landauer. Washington, DC: American Psychological Association.
Schvaneveldt, R. W. (Editor) (1990). Pathfinder associative networks: Studies in knowledge organization. Norwood, NJ: Ablex.
Schvaneveldt, R. W., Anderson, M., Breen, T. J., Cooke, N. M., Goldsmith, T. E., Durso, F. T., DeMaio, J. C., & Tucker, R. G. (1983). Conceptual Structures in Fighter Pilots. AFHRL-TP-83-2, Flying Training Division, Air Force Human Resources Laboratory.
Schvaneveldt, R. W., Anderson, M., Breen, T. J., Cooke, N. M., Goldsmith, T. E., Durso, F. T., DeMaio, J. C., & Tucker, R. G. (1985). Measuring the Structure of Expertise. Memorandum in Computer and Cognitive Science, MCCS-85-32, Computing Research Laboratory, New Mexico State University.
Schvaneveldt, R. W., Beringer, D. B., & Lamonica, J. (2001). Priority and organization of information accessed by pilots in various phases of flight. International Journal of Aviation Psychology, 11(3), 253-280.
Schvaneveldt, R. W, & Cohen, T. A. (2010). Abductive reasoning and similarity: Some computational tools. In D. Ifenthaler, P. Pirnay-Dummer, & N. M. Seel (Eds.), Computer-based diagnostics and systematic analysis of knowledge. (pp. 189-211). New York: Springer.
Schvaneveldt, R. W., Cohen, T. A., & Whitfield, G. K. (2013). Paths to discovery. In J. Staszewski (Ed.), Expertise and skill acquisition: The impact of William G. Chase. (pp. 147-178). New York : Psychology Press.
Schvaneveldt, R. W., Dearholt, D. W., & Durso, F. T. (1986). Proximity data and networks: Foundations of the pathfinder algorithm. Paper presented at the Second New Mexico Symposium on Applications of Graph Theory in Computer Science. Computing Research Laboratory, New Mexico State University, November.
Schvaneveldt, R. W., Dearholt, D. W., & Durso, F. T. (1988). Graph theoretic foundations of Pathfinder networks. Computers and Mathematics with Applications, 15, 337-345.
Schvaneveldt, R. W., & Durso, F. T. (1981). General semantic networks. Paper presented at the annual meetings of the Psychonomic Society, Philadelphia.
Schvaneveldt, R. W., Durso, F. T., & Dearholt, D. W. (1985). Pathfinder: Scaling with Network Structures. Memorandum in Computer and Cognitive Science, MCCS-85-9, Computing Research Laboratory, New Mexico State University.
Schvaneveldt, R. W., Durso, F. T., & Dearholt, D. W. (1987). Pathfinder: Networks from Proximity Data. Memorandum in Computer and Cognitive Science, MCCS-87-90, Computing Research Laboratory, New Mexico State University.
Schvaneveldt, R. W., Durso, F. T., & Dearholt, D. W. (1989). Network structures in proximity data. In G. Bower (Ed.), The psychology of learning and motivation: Advances in research & theory, Vol. 24 (pp. 249-284). New York: Academic Press.
Schvaneveldt, R. W., Durso, F. T., Goldsmith, T. E., Breen, T. J., Cooke, N. M., Tucker, R. G., & DeMaio, J. C. (1984). Cognitive Organization as a Function of Flying Experience. AFHRL-TP-83-64, Flying Training Division, Air Force Human Resources Laboratory.
Schvaneveldt, R. W., Durso, F. T., Goldsmith, T. E., Breen, T. J., Cooke, N. M., Tucker, R. G., & DeMaio, J. C. (1985). Measuring the structure of expertise. International Journal of Man-Machine Studies, 23, 699-728.
Schvaneveldt, R., Euston, D., & Sward, D. (1992). Knowledge and proximity judgments: Selecting the stimulus set. Paper presented at a Symposium,, F. Durso, Chair, "Empirical Epistemology." 38th Annual Convention of the Southwestern Psychological Association, Austin, TX, April.
Schvaneveldt, R. W., Euston, D. R., Sward, D. S., & Van Heuvelen, A. (1992). Physics expertise and the perception of physics problems. Paper presented at the 33rd Annual Psychonomic Society Meetings, St. Louis, November.
Schvaneveldt, R. W., Goldsmith, T. E., & Durso, F. T. (1982). Structures of memory for critical flight information. Paper presented at the Eighth Symposium on Psychology in the DoD, Colorado Springs.
Schvaneveldt, R. W., Goldsmith, T. E., Durso, F. T., Maxwell, K., Acosta, H. M., & Tucker, R. G. (1982). Structures of Memory for Critical Flight Information. AFHRL-TP-81-46, Flying Training Division, Air Force Human Resources Laboratory.
Schvaneveldt, R. W., & Gomez, R. L. (1993). A statistical basis for comparing networks. Paper presented at the Second Workshop on Proximity Graphs, Starkville, MS, February.
Schvaneveldt, R. W., & Gomez, R. L. (1993). Assessing similarity of associative knowledge. Invited address presented at the joint annual meetings of the Rocky Mountain Psychological Association and the Western Psychological Association, Phoenix, April.
Schvaneveldt, R. W., & Gomez, R. L. (1993). Comparison and similarity of Pathfinder networks: A statistical view of graph similarity. Proceedings of the Second Workshop on Proximity Graphs, Technical Report No. MSU-930210, Mississippi State University, Starkville, MS.
Schvaneveldt, R. W., & McDonald, J. E. (1990). Extracting semantic constraints from co-occurrence of lexical units. Paper presented at the Southwest Cognition Conference. San Antonio, TX, May.
Schvaneveldt, R. W., & McDonald, J. E. (1990). Extracting semantic constraints from co-occurrence of lexical units. Colloquium presented in the Arizona State University Colloquium Series, “Approaches to the Lexicon.” Tempe, AZ, March.
Schvaneveldt, R. W., & McDonald, J. E. (1992). An information retrieval system based on text proximities. Paper presented at the Third Annual Winter Text Conference, Jackson, Wyoming, January.
Schwanenflugel, P. J., Fabricius, W. V., & Alexander, J. (1994). Developing theories of mind: Understanding concepts and relations between mental activities. Child Development, 65 (6), 1546-1563.
Serrano, E., Quirin, A., Botia, J., & Cordón, O. (2010). Debugging complex software systems by means of pathfinder networks. Information Sciences, 180 (5), 561-583.
Seo, E-G., & Yu, S-Y. (2013). Detecting research trends in Korean information science research, 2000-2011. Journal of the Korean Society for Information Management, 30(4), 215-239.
Sun, S., Jiang, Y., & Zheng, S. (2020). Research on Ecological Infrastructure from 1990 to 2018: A Bibliometric Analysis. Sustainability 12 , 2304. https://doi.org/10.3390/su12062304
Sharara, H. (2011). How Structural Assessment of Knowledge can be Used for the Identification of Specific Alternative Conceptions and for Assessing Domain Competence in Physics (Doctoral dissertation, University of Ottawa).
Sharit, J., Hernández, M. A., Czaja, S. J., & Pirolli, P. (2008). Investigating the roles of knowledge and cognitive abilities in older adult information seeking on the web. ACM Transactions on Computer-Human Interaction (TOCHI), 15 (1), 3.
Shope, Steven M., DeJoode, Janie A., Cooke, Nancy J. and Pedersen, Harry. (2004) Using Pathfinder to generate communications networks in a cognitive task analysis. Proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting, 48(3), 678-682.
Skupin, A. & Fabrikant, S. (2003) Spatialization methods: A cartographic research agenda for non-geographic information visualization. Cartography and Geographic Information Science, 30(2), 95-115.
Smith, G. E., Eggleston, T. J., Gerrard, M., & Gibbons, F. X. (1996). Sexual attitudes, cognitive associative networks, and perceived vulnerability to unplanned pregnancy. Journal of Research in Personality, 30, 88-102.
Snyder, K., Paap, K., Lewis, J., Rotella, J., Happ, A., Malcus, L., & Dyck, J. (1985). Using cognitive networks to create menus. IBM Technical Report No. TR 54.405, Boca Raton, FL.
Staudenmayer, H., Gomez, R., & Schvaneveldt, R. (1993). Multiple chemical sensitivity and beliefs. Poster presented at the Annual Aspen Allergy Conference, Aspen, CO, July.
Stetz, T. A., Button, S. B., & Porr, W. B. (2009). New tricks for an old dog: visualizing job analysis results. Public Personnel Management, 38 (1), 91-100.
Stevens-Adams, S. M., Goldsmith, T. E., & Butler, K. M. (2012). Variation in individuals' semantic networks for common knowledge is associated with false memory. The Quarterly Journal of Experimental Psychology, 65 (6), 1035-1043.
Stevenson, J. L., Shah, S., & Bish, J. (2016). Use of structural assessment of knowledge for outcomes assessment in the neuroscience classroom. Journal of Undergraduate Neuroscience Education, 15(1), A38-A43. Retrieved from http://www.funjournal.org/wp-content/uploads/2016/09/june-15-38.pdf
Stoen, S. M., McDaniel, M. A., Frey, R. F., Hynes, M., & Cahill, M. J. (2020). Physical Review Physics Education Research, 16, 10105.
Stokes, T. A. (2018). Distinctiveness, Memory and Duration Perception: A Comparison of Feature-Based and Categorical Distinctiveness' Effect on Memory and Perceived Duration. PhD Dissertaion, North Carolina State University.
Stout, R. J. (1995). Planning effects on communication strategies: A shared mental models perspective. Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting, Santa Monica, CA, 1278-1282.
Stout, R., Cannon-Bowers, J., Salas, E. & Milanovich, D. (1999). Planning, shared mental models, and coordinated performance: An empirical link is established. Human Factors, 41(1), 61-71.
Stout, R. J., Salas, E. & Kraiger, K. (1997). The role of trainee knowledge in aviation team environments. International Journal of Aviation Psychology, 7(3), 235-250.
Sugimoto, C. R., & McCain, K. W. (2010). Visualizing changes over time: A history of information retrieval through the lens of descriptor tri-occurrence mapping. Journal of Information Science, 36 (4), 481-493.
Sullivan, D., Nerur, S. P., & Balijepally, V. (2011). Source or storer? IB's performance in a knowledge network. Journal of International Business Studies, 42 (3), 446-457.
Sylvester, C. Y. C., & Shimamura, A. P. (2002). Evidence for intact semantic representations in patients with frontal lobe lesions. Neuropsychology, 16 (2), 197.
Taricani, E. M. & Clariana, R.B. (2006). A technique for automatically scoring open-ended concept maps. Educational Technology Research and Development, 54, 61-78.
Taskin Y., Hecking T., Hoppe H.U. (2020) ESA-T2N: A Novel Approach to Network-Text Analysis. In: Cherifi H., Gaito S., Mendes J., Moro E., Rocha L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 882. Springer, Cham
Thompson, L. A., Gomez, R. L., & Schvaneveldt, R. W. (2000). The salience of temporal cues in the developing structure of event knowledge. American Journal of Psychology, 113(4), 613-641.
Thushari A., Falkner K., & Falkner, N. (2017). A comprehensive text analysis of lecture slides to generate concept maps.Computers & Education, ISSN 0360-1315, http://dx.doi.org/10.1016/j.compedu.2017.08.001. (http://www.sciencedirect.com/science/article/pii/S0360131517301781)
Toker, S., & Moseley, J. L. (2013). The mental model comparison of expert and novice performance improvement practitioners. Performance Improvement Quarterly, 26 (3), 7-32.
Tossell, C. C., Schvaneveldt, R. W., & Branaghan, R. J. (2010). Targeting knowledge structures: A new method to elicit the relatedness of concepts. Cognitive Technology, 15(2), 12-19.
Tracy, J. L., & Robins, R. W. (2007). The psychological structure of pride: A tale of two facets. Journal of Personality and Social Psychology, 92(3), 506-25.
Trumpower, David L. & Goldsmith, Timothy E. (2004). Structural enhancement of learning. Contemporary Educational Psychology, 29(4), 426-446.
Trumpower, David L. & Sarwar, Gul Shahzad (2010). Effectiveness of structural feedback provided by Pathfinder networks. Journal of Educational Computing Research, 43(1), 7-24.
Trumpower, David L., Guynn, Melissa J. & Goldsmith, Timothy E. (2004). Goal specificity and knowledge acquisition in statistics problem solving: Evidence for attentional focus. Memory and Cognition, 32(8), 1379-1388.
Trumpower, David L., Sharara, Harold & Goldsmith, Timothy E. (2010). Specificity of structural assessment of knowledge. Journal of Technology, Learning and Assessment, 8(5), 1-33..
Van Boven, Leaf & Thompson, Leigh (2003). A look into the mind of the negotiator: Mental models in negotiation. Group Processes and Intergroup Relations, 6(4), 387-404.
van Ouwerkerk, R., Meijman, T., & Mulder, G. (1999). On the structure of working behavior. In D, Harris, (Ed.), Engineering Psychology and Cognitive Ergonomics: Volume 4 - Job Design and Human-Computer Interaction. Ashgate Publishing, pp. 79-86.
Vargas-Quesada, B., de Moya-Anegón, F., Chinchilla-Rodríguez, Z., & González-Molina, A. (2010). Showing the essential science structure of a scientific domain and its evolution. Information Visualization, 9 (4), 288-300.
Vinogradov, S., Kirkland, J., Poole, J. H., Drexler, M., Ober, B. A., & Shenaut, G. K. (2003). Both processing speed and semantic memory organization predict verbal fluency in schizophrenia. Schizophrenia Research, 59 (2), 269-275.
von der Oelsnitz D., Brunzel J. (2018). Network Analysis in Alliance Research: A Bibliometric Approach. In: Khare A., Kessler D., Wirsam J. (eds) Marktorientiertes Produkt- und Produktionsmanagement in digitalen Umwelten. Springer Gabler, Wiesbaden
Von Minden, Avril M., Walls, Richard T. & Nardi, Anne H. (1997). Cartographies of cognition: Charting the links between mathematics content and pedagogy concepts. Proceedings of the Fourth International Seminar on Misconceptions Research: From Misconceptions to Constructed Understanding. June 13-15, Santa Cruz, CA.
Vortac, O.U., Edwards, M.B., & Manning, C.A. (1994). Sequences of actions for individual and teams of air traffic controllers. Human-Computer Interaction, 9, 319-343.
Vortac, O.U., Edwards, M.B., Jones, J.P, Manning, C.A. & Rotter, A.J. (1993). En route air traffic controllers' use of flight progress strips: A graph-theoretic analysis. International Journal of Aviation Psychology, 3(4), 327-343.
Waterson, P., Robertson, M. M., Cooke, N. J., Militello, L., Roth, E., & Stanton, N. A. (2015): Defining the methodological challenges and opportunities for an effective science of sociotechnical systems and safety, Ergonomics, DOI: 10.1080/00140139.2015.1015622
White, H., Buzydlowski, J. & Lin, X. (2000). Co-cited author maps as interfaces to digital libraries: Designing Pathfinder networks in the humanities. Proceedings of the IEEE International Conference on Information Visualization, London, July 19-21, pp 25-30.
White, H.D. (2003). Pathfinder network and author cocitation analysis: a remapping of paradigmatic information scientists. JASIST, 54(5):423-434.
Widdows, D., & Cohen, T. (2010, September). The semantic vectors package: New algorithms and public tools for distributional semantics. In Semantic Computing (ICSC), 2010 IEEE Fourth International Conference on (pp. 9-15). IEEE.
Wildman, J. L., Salas, E., & Scott, C. P. (2014). Measuring cognition in teams: A cross-domain review. Human Factors: The Journal of the Human Factors and Ergonomics Society, 56(5), 911-941.
Wilks, Y., Fass, D., Guo, C., & Slator, B. M. (1990). Providing machine tractable disctionary tools. Machine Translation, 5(2), 99-154.
Wilson, J. M. (1998). Differences in knowledge networks about acids and bases of year-12, undergraduate and postgraduate chemistry students. Research in Science Education, 28 (4), 429-446.
Wilson, Janice M. (1994). Network representations of knowledge about chemical equilibrium: Variations with achievement. Journal of Research in Science Teaching, 31(10), 1133-1147.
Wyman, B. G., & Randel, J. M. (1998). The relation of knowledge organization to performance of a complex cognitive task. Applied Cognitive Psychology, 12 (3), 251-264.
Yang, K., & Lee, H. J. (2018). Research trend visualization by MeSH terms from PubMed. International Journal of Environmental Research and Public Health, 15(6), 1113. DOI: 10.3390/ijerph15061113
Yoo, Y. J., Lee, J. Y., & Choi, S. (2012). Intellectual structure of Korean theology 2000–2008: Presbyterian theological journals. Journal of Information Science, 39(3), 307-318.
Zarco, C., Santos, E. & Cordón, O. (2019). Advanced visualization of Twitter data for its analysis as a communication channel in traditional companies. Progress in Artificial Intelligence, https://doi.org/10.1007/s13748-019-00181-3
Zemla, J. C., & Austerweil, J. L. (2018). Estimating semantic networks of groups and individuals from fluency data. Computational Brain & Behavior, 1(1), 36-58. doi:10.1007/s42113-018-0003-7
Zhang, Yingzhi, & Li, Zhizhong (2017). A short review of mental models of operators in main control rooms of nuclear power plants. 2017 IEEE International Conference on Industrial Engineering and Engineering. DOI: 10.1109/IEEM.2017.8289891
Zhou, Z. (2017). Planning and team shared mental models as predictors of team collaborative processes. Ph.D. Dissertation, Old Dominion University. http://digitalcommons.odu.edu/cgi/viewcontent.cgi?article=1014&context=emse_etds
Zhu, W., Lin, X., Hu, X., & Sokhansanj, B. A. (2005, July). Visualization of protein-protein interaction network for knowledge discovery. In Granular Computing, 2005 IEEE International Conference on (Vol. 1, pp. 373-377). IEEE.
Zhu, Y., Kim, M. C., & Chen, C. (2017). An investigation of the intellectual structure of opinion mining research. Information Research, 22(1), 1-20.
Clariana, R. B. (2003). KU-Mapper software allows participants to complete three activites, a traditional Pathfinder rating task, an abbreviated rating task, and a sorting task. Then the software outputs proximity files (prx) that can be analyzed by PCKNOT. KU-Mapper is available online at: http://www.personal.psu.edu/rbc4/KUmapper.htm
Clariana, R. B. (2004). ALA-Reader software translates written text directly into proximity files (prx) that can be analyzed by PCKNOT. ALA-Reader is available online at: http://www.personal.psu.edu/rbc4/score.htm