David M. Kaplan

5.7k total citations
84 papers, 2.6k citations indexed

About

David M. Kaplan is a scholar working on Cognitive Neuroscience, History and Philosophy of Science and Experimental and Cognitive Psychology. According to data from OpenAlex, David M. Kaplan has authored 84 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 16 papers in History and Philosophy of Science and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in David M. Kaplan's work include Philosophy and History of Science (14 papers), Neural dynamics and brain function (9 papers) and Action Observation and Synchronization (8 papers). David M. Kaplan is often cited by papers focused on Philosophy and History of Science (14 papers), Neural dynamics and brain function (9 papers) and Action Observation and Synchronization (8 papers). David M. Kaplan collaborates with scholars based in United States, Australia and United Kingdom. David M. Kaplan's co-authors include Carl F. Craver, Colin Klein, J. Brendan Ritchie, Donald G. Langsley, Richard S. Criddle, Frank S. Pittman, Robert C. Smith, Arthur T. Rosenfield, Lawrence H. Snyder and Gaurav H. Patel and has published in prestigious journals such as Physiological Reviews, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David M. Kaplan

75 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David M. Kaplan United States 25 700 634 583 497 353 84 2.6k
Michael Devitt United States 26 1.4k 1.9× 392 0.6× 882 1.5× 1.1k 2.2× 252 0.7× 106 2.6k
Mark H. Bickhard United States 30 802 1.1× 1.3k 2.1× 553 0.9× 316 0.6× 382 1.1× 116 3.2k
Edward N. Zalta United States 17 1.2k 1.7× 401 0.6× 640 1.1× 1.0k 2.0× 646 1.8× 71 3.2k
P. M. S. Hacker United States 27 944 1.3× 827 1.3× 330 0.6× 1.3k 2.5× 282 0.8× 134 3.3k
Igor Douven Netherlands 30 755 1.1× 560 0.9× 704 1.2× 1.1k 2.1× 728 2.1× 158 2.6k
William G. Lycan United States 26 1.4k 2.0× 1.1k 1.8× 609 1.0× 1.2k 2.4× 337 1.0× 126 3.2k
Stephen Laurence United Kingdom 19 643 0.9× 524 0.8× 255 0.4× 348 0.7× 231 0.7× 44 2.0k
Kendall L. Walton United States 21 882 1.3× 858 1.4× 280 0.5× 798 1.6× 161 0.5× 50 2.7k
Robert A. Wilson Canada 26 448 0.6× 700 1.1× 581 1.0× 318 0.6× 166 0.5× 196 3.3k
Adam Morton United Kingdom 18 512 0.7× 688 1.1× 354 0.6× 491 1.0× 136 0.4× 90 2.0k

Countries citing papers authored by David M. Kaplan

Since Specialization
Citations

This map shows the geographic impact of David M. Kaplan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David M. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Kaplan more than expected).

Fields of papers citing papers by David M. Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Kaplan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David M. Kaplan. The network helps show where David M. Kaplan may publish in the future.

Co-authorship network of co-authors of David M. Kaplan

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Kaplan. A scholar is included among the top collaborators of David M. Kaplan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David M. Kaplan. David M. Kaplan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Karin, Eyal, et al.. (2025). Kinematics in context: Predicting other’s action intentions entails the perception of affordances. Cognition. 260. 106122–106122. 1 indexed citations
2.
Kaplan, David M., et al.. (2024). Why most research based on the Reading the Mind in the Eyes Test is unsubstantiated and uninterpretable: A response to Murphy and Hall (2024). Clinical Psychology Review. 115. 102530–102530. 3 indexed citations
3.
Caruana, Nathan, et al.. (2023). Autistic young people adaptively use gaze to facilitate joint attention during multi-gestural dyadic interactions. Autism. 28(6). 1565–1581. 4 indexed citations
4.
Kaplan, David M., et al.. (2023). Construct validity evidence reporting practices for the Reading the Mind in the Eyes Test: A systematic scoping review. Clinical Psychology Review. 108. 102378–102378. 23 indexed citations
5.
Kaplan, David M., et al.. (2022). Defending the use of the mutual manipulability criterion in the extended cognition debate. Frontiers in Psychology. 13. 1043747–1043747. 3 indexed citations
6.
Ramsey, Richard, David M. Kaplan, & Emily S. Cross. (2021). Watch and Learn: The Cognitive Neuroscience of Learning from Others’ Actions. Trends in Neurosciences. 44(6). 478–491. 37 indexed citations
7.
Cartmill, John, et al.. (2021). Camera realignment imposes a cost on laparoscopic performance. Scientific Reports. 11(1). 17634–17634. 2 indexed citations
8.
Caruana, Nathan, et al.. (2020). The effect of non-communicative eye movements on joint attention. Quarterly Journal of Experimental Psychology. 73(12). 2389–2402. 5 indexed citations
9.
Crossley, Matthew J., et al.. (2020). Enhanced visuomotor learning and generalization in expert surgeons. Human Movement Science. 71. 102621–102621. 8 indexed citations
10.
Kaplan, David M., et al.. (2020). Local context effects in the magnitude-duration illusion: Size but not numerical value sequentially alters perceived duration. Acta Psychologica. 204. 103016–103016. 5 indexed citations
11.
Sowman, Paul F., et al.. (2018). Interlimb Generalization of Learned Bayesian Visuomotor Prior Occurs in Extrinsic Coordinates. eNeuro. 5(4). ENEURO.0183–18.2018. 15 indexed citations
12.
Carlson, Thomas A., Erin Goddard, David M. Kaplan, Colin Klein, & J. Brendan Ritchie. (2017). Ghosts in machine learning for cognitive neuroscience: Moving from data to theory. NeuroImage. 180(Pt A). 88–100. 36 indexed citations
13.
Kaplan, David M. & Carl F. Craver. (2016). A registration problem for functional fingerprinting. Behavioral and Brain Sciences. 39. e124–e124. 1 indexed citations
14.
Zopf, Regine, et al.. (2016). Non-hierarchical Influence of Visual Form, Touch, and Position Cues on Embodiment, Agency, and Presence in Virtual Reality. Frontiers in Psychology. 7. 1649–1649. 34 indexed citations
15.
Kaplan, David M.. (2014). Noise, Statistics and Sign Problems. Bulletin of the American Physical Society. 2014.
16.
Patel, Gaurav H., David M. Kaplan, & Lawrence H. Snyder. (2014). Topographic organization in the brain: searching for general principles. Trends in Cognitive Sciences. 18(7). 351–363. 57 indexed citations
17.
Gordon, Goren, et al.. (2011). Toward an Integrated Approach to Perception and Action: Conference Report and Future Directions. Frontiers in Systems Neuroscience. 5. 20–20. 15 indexed citations
18.
Kaplan, David M.. (1995). A Validity Study of the Subjective Unit of Discomfort (SUD) Score.. Measurement and Evaluation in Counseling and Development. 27(4). 46 indexed citations
19.
Kaplan, David M. & Peter Goldstraw. (1994). New techniques in the diagnosis and staging of lung cancer. Cancer treatment and research. 72. 223–254. 1 indexed citations
20.
Kaplan, David M.. (1964). Foundations of Intensional Logic. PhilPapers (PhilPapers Foundation). 21 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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