P. N. Johnson‐Laird

36.2k total citations · 8 hit papers
272 papers, 21.4k citations indexed

About

P. N. Johnson‐Laird is a scholar working on Artificial Intelligence, General Decision Sciences and Developmental and Educational Psychology. According to data from OpenAlex, P. N. Johnson‐Laird has authored 272 papers receiving a total of 21.4k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Artificial Intelligence, 65 papers in General Decision Sciences and 49 papers in Developmental and Educational Psychology. Recurrent topics in P. N. Johnson‐Laird's work include Decision-Making and Behavioral Economics (65 papers), Bayesian Modeling and Causal Inference (45 papers) and Child and Animal Learning Development (43 papers). P. N. Johnson‐Laird is often cited by papers focused on Decision-Making and Behavioral Economics (65 papers), Bayesian Modeling and Causal Inference (45 papers) and Child and Animal Learning Development (43 papers). P. N. Johnson‐Laird collaborates with scholars based in United States, United Kingdom and Ireland. P. N. Johnson‐Laird's co-authors include Keith Oatley, P. C. Wason, Ruth M. J. Byrne, George A. Miller, Sangeet Khemlani, Stella Vosniadou, Paolo Legrenzi, Walter Schaeken, Geoffrey P. Goodwin and Jane Oakhill and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

P. N. Johnson‐Laird

263 papers receiving 18.5k citations

Hit Papers

Mental Models 1972 2026 1990 2008 1983 1989 1976 1987 1972 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. N. Johnson‐Laird United States 62 6.8k 6.1k 5.6k 4.3k 3.3k 272 21.4k
Keith J. Holyoak United States 71 6.4k 0.9× 10.6k 1.7× 6.5k 1.2× 6.3k 1.5× 3.6k 1.1× 260 25.6k
Douglas L. Medin United States 70 4.3k 0.6× 9.2k 1.5× 5.0k 0.9× 4.8k 1.1× 5.3k 1.6× 228 21.6k
Jonathan St. B. T. Evans United Kingdom 52 4.0k 0.6× 3.6k 0.6× 2.6k 0.5× 4.6k 1.1× 2.5k 0.8× 182 17.6k
Dedre Gentner United States 75 6.8k 1.0× 12.3k 2.0× 9.1k 1.6× 3.8k 0.9× 4.1k 1.3× 272 26.5k
Nick Chater United Kingdom 67 4.7k 0.7× 4.4k 0.7× 2.7k 0.5× 5.4k 1.3× 1.6k 0.5× 321 16.4k
Thomas L. Griffiths United States 69 12.1k 1.8× 4.8k 0.8× 2.8k 0.5× 5.5k 1.3× 1.8k 0.6× 394 25.7k
Allen Newell United States 47 9.0k 1.3× 3.3k 0.5× 3.0k 0.5× 3.3k 0.8× 2.6k 0.8× 165 22.3k
Eleanor Rosch United States 22 3.1k 0.5× 6.1k 1.0× 6.6k 1.2× 6.5k 1.5× 5.2k 1.6× 39 21.7k
John R. Anderson United States 94 14.4k 2.1× 14.6k 2.4× 8.6k 1.5× 14.2k 3.3× 6.8k 2.1× 431 48.5k
Edward E. Smith United States 72 3.3k 0.5× 7.1k 1.2× 7.0k 1.2× 18.0k 4.2× 3.9k 1.2× 193 31.0k

Countries citing papers authored by P. N. Johnson‐Laird

Since Specialization
Citations

This map shows the geographic impact of P. N. Johnson‐Laird'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 P. N. Johnson‐Laird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. N. Johnson‐Laird more than expected).

Fields of papers citing papers by P. N. Johnson‐Laird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. N. Johnson‐Laird. 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 P. N. Johnson‐Laird. The network helps show where P. N. Johnson‐Laird may publish in the future.

Co-authorship network of co-authors of P. N. Johnson‐Laird

This figure shows the co-authorship network connecting the top 25 collaborators of P. N. Johnson‐Laird. A scholar is included among the top collaborators of P. N. Johnson‐Laird 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 P. N. Johnson‐Laird. P. N. Johnson‐Laird 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.
Johnson‐Laird, P. N., Ruth M. J. Byrne, & Sangeet Khemlani. (2024). Models of Possibilities Instead of Logic as the Basis of Human Reasoning. Minds and Machines. 34(3). 4 indexed citations
2.
Johnson‐Laird, P. N., Ruth M. J. Byrne, & Sangeet Khemlani. (2023). Human verifications: Computable with truth values outside logic. Proceedings of the National Academy of Sciences. 120(40). e2310488120–e2310488120. 2 indexed citations
3.
Rasga, Célia, et al.. (2022). An explanation of or -deletions and other paradoxical disjunctive inferences. Journal of Cognitive Psychology. 34(8). 1032–1051. 4 indexed citations
4.
Johnson‐Laird, P. N. & Keith Oatley. (2021). Emotions, Simulation, and Abstract Art. 9(3). 260–292. 6 indexed citations
5.
Khemlani, Sangeet & P. N. Johnson‐Laird. (2021). Reasoning about properties: A computational theory.. Psychological Review. 129(2). 289–312. 23 indexed citations
6.
Bucciarelli, Monica, et al.. (2021). The causes of difficulty in children’s creation of informal programs. International Journal of Child-Computer Interaction. 31. 100443–100443. 4 indexed citations
7.
Johnson‐Laird, P. N., et al.. (2021). Recursion in programs, thought, and language. Psychonomic Bulletin & Review. 29(2). 430–454. 9 indexed citations
8.
Khemlani, Sangeet & P. N. Johnson‐Laird. (2016). How people differ in syllogistic reasoning.. Cognitive Science. 9 indexed citations
9.
Khemlani, Sangeet, Isabel Orenes, & P. N. Johnson‐Laird. (2012). Negating compound sentences. Cognitive Science. 34(34). 4 indexed citations
10.
Byrne, Ruth M. J. & P. N. Johnson‐Laird. (2009). ‘If’ and the problems of conditional reasoning. Trends in Cognitive Sciences. 13(7). 282–287. 102 indexed citations
11.
Johnson‐Laird, P. N., et al.. (2006). Are There Cross-Cultural Differences in Reasoning?. eScholarship (California Digital Library). 28(28). 12 indexed citations
12.
Goodwin, Geoffrey P., et al.. (2006). The Psychology of Su Doku Problems. eScholarship (California Digital Library). 28(28). 1 indexed citations
13.
Jahn, Georg, P. N. Johnson‐Laird, & Markus Knauff. (2005). Preferred Mental Models in Spatial Reasoning. eScholarship (California Digital Library). 27(27). 2 indexed citations
14.
Harris, Harlan D., et al.. (2005). Function Learning with an Ensemble of Linear Experts and Off-The-Shelf Category-Learning Models. eScholarship (California Digital Library). 27(27).
15.
Johnson‐Laird, P. N.. (2005). If, Jonathan St B.T. Evans, David E. Over. Oxford University Press (2004), £27.95 (pbk) (vii+190 pp.), ISBN: 0198525133. Trends in Cognitive Sciences. 1 indexed citations
16.
Hasson, Uri & P. N. Johnson‐Laird. (2003). Why Believability Cannot Explain Belief Revision. eScholarship (California Digital Library). 25(25). 4 indexed citations
17.
Yang, Yingrui, Jean‐Baptiste Van der Henst, & P. N. Johnson‐Laird. (2000). Strategies and Tactics in Sentential Reasoning. Proceedings of the Annual Meeting of the Cognitive Science Society. 22(22). 97–105. 3 indexed citations
18.
Madruga, Juan Antonio García & P. N. Johnson‐Laird. (1988). Entrevista a Philip N. Johnson-Laird. 1(3). 311–333.
19.
Johnson‐Laird, P. N.. (1984). Semantic primitives or meaning postulates: mental models or propositional representation?. Elsevier eBooks. 227–246. 1 indexed citations
20.
Johnson‐Laird, P. N. & P. C. Wason. (1977). Thinking; Readings in Cognitive Science. Cambridge University Press eBooks. 617 indexed citations breakdown →

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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