Emmanuel M. Pothos

7.0k total citations
143 papers, 3.9k citations indexed

About

Emmanuel M. Pothos is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Emmanuel M. Pothos has authored 143 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 41 papers in Developmental and Educational Psychology and 35 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Emmanuel M. Pothos's work include Decision-Making and Behavioral Economics (35 papers), Quantum Mechanics and Applications (35 papers) and Child and Animal Learning Development (33 papers). Emmanuel M. Pothos is often cited by papers focused on Decision-Making and Behavioral Economics (35 papers), Quantum Mechanics and Applications (35 papers) and Child and Animal Learning Development (33 papers). Emmanuel M. Pothos collaborates with scholars based in United Kingdom, United States and Poland. Emmanuel M. Pothos's co-authors include Jerome R. Busemeyer, W. Miles Cox, Javad Salehi Fadardi, Jennifer S. Trueblood, Katy Tapper, Nick Chater, Todd M. Bailey, James M. Yearsley, Riccardo Franco and Raff Calitri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Psychological Bulletin and Psychological Review.

In The Last Decade

Emmanuel M. Pothos

137 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emmanuel M. Pothos United Kingdom	31	1.1k	1.1k	861	821	706	143	3.9k
Geoffrey Iverson United States	18	2.5k 2.2×	517 0.5×	599 0.7×	813 1.0×	262 0.4×	46	4.4k
Marius Usher Israel	40	5.3k 4.6×	798 0.7×	490 0.6×	978 1.2×	81 0.1×	117	6.9k
Donald Laming United Kingdom	27	1.8k 1.5×	404 0.4×	378 0.4×	552 0.7×	101 0.1×	67	3.0k
Mariano Sigman Argentina	31	3.1k 2.7×	370 0.3×	350 0.4×	623 0.8×	50 0.1×	59	4.3k
Michael E. Young United States	29	883 0.8×	142 0.1×	987 1.1×	284 0.3×	279 0.4×	185	3.3k
David J. Chalmers United States	32	3.5k 3.1×	742 0.7×	533 0.6×	2.8k 3.4×	281 0.4×	81	7.6k
Mike Oaksford United Kingdom	40	1.4k 1.2×	2.5k 2.3×	1.5k 1.8×	686 0.8×	51 0.1×	118	5.6k
Daniel N. Osherson United States	38	1.1k 0.9×	2.0k 1.8×	1.2k 1.3×	708 0.9×	66 0.1×	140	4.7k
Bernard J. Baars United States	39	5.4k 4.7×	1.0k 0.9×	958 1.1×	1.6k 1.9×	140 0.2×	111	8.0k
Patricia Smith Churchland United States	32	2.8k 2.5×	585 0.5×	453 0.5×	1.3k 1.6×	115 0.2×	103	5.7k

Countries citing papers authored by Emmanuel M. Pothos

Since Specialization

Citations

This map shows the geographic impact of Emmanuel M. Pothos'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 Emmanuel M. Pothos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel M. Pothos more than expected).

Fields of papers citing papers by Emmanuel M. Pothos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel M. Pothos. 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 Emmanuel M. Pothos. The network helps show where Emmanuel M. Pothos may publish in the future.

Co-authorship network of co-authors of Emmanuel M. Pothos

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel M. Pothos. A scholar is included among the top collaborators of Emmanuel M. Pothos 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 Emmanuel M. Pothos. Emmanuel M. Pothos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tsuchiya, Naotsugu, Peter Bruza, Makiko Yamada, Hayato Saigo, & Emmanuel M. Pothos. (2025). Quantum-like Qualia hypothesis: from quantum cognition to quantum perception. Frontiers in Psychology. 15. 1406459–1406459. 2 indexed citations

Overbeck, Ludger, et al.. (2025). Using Bell violations as an indicator for financial market crisis. City Research Online (City University London). 11. 100164–100164.

Busemeyer, Jerome R., Masanao Ozawa, Emmanuel M. Pothos, & Naotsugu Tsuchiya. (2025). Incorporating episodic memory into quantum models of judgement and decision. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2309). 20240387–20240387.

Wojciechowski, B. W., et al.. (2025). Order effects and the evaluation bias in legal decision making.. Decision. 12(3). 246–267.

Widdows, Dominic, Jyoti Rani, & Emmanuel M. Pothos. (2023). Quantum Circuit Components for Cognitive Decision-Making. Entropy. 25(4). 548–548. 14 indexed citations

Błasiak, Paweł, et al.. (2023). Winning a CHSH Game without Entangled Particles in a Finite Number of Biased Rounds: How Much Luck Is Needed?. Entropy. 25(5). 824–824. 1 indexed citations

Basieva, Irina, et al.. (2022). Ambivalence in decision making: An eye tracking study. Cognitive Psychology. 134. 101464–101464. 7 indexed citations

Błasiak, Paweł, et al.. (2022). Quantifying and Interpreting Connection Strength in Macro- and Microscopic Systems: Lessons from Bell’s Approach. Entropy. 24(3). 364–364. 3 indexed citations

Błasiak, Paweł, et al.. (2021). Violations of locality and free choice are equivalent resources in Bell experiments. Proceedings of the National Academy of Sciences. 118(17). 16 indexed citations

10.

Yearsley, James M., et al.. (2021). Context effects in similarity judgments.. Journal of Experimental Psychology General. 151(3). 711–717. 9 indexed citations

11.

Yearsley, James M., et al.. (2017). The triangle inequality constraint in similarity judgments. Progress in Biophysics and Molecular Biology. 130(Pt A). 26–32. 13 indexed citations

12.

Pothos, Emmanuel M., et al.. (2017). The Refugees' Dilemma: not all deontological moral choices are of the same kind.. Cognitive Science. 2 indexed citations

13.

Yearsley, James M., Jennifer S. Trueblood, & Emmanuel M. Pothos. (2016). When are representations of causal events quantum versus classical. Cognitive Science. 1 indexed citations

14.

Pothos, Emmanuel M., et al.. (2015). An investigation of a quantum probability model for the constructive effect of affective evaluation. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 374(2058). 20150142–20150142. 8 indexed citations

15.

Pothos, Emmanuel M., et al.. (2013). A quantum probability perspective on the nature of psychological uncertainty. Cognitive Science. 35(35). 4 indexed citations

16.

Pothos, Emmanuel M. & Jerome R. Busemeyer. (2011). A Quantum Probability Explanation for Violations of Symmetry in Similarity Judgments. Cognitive Science. 33(33). 5 indexed citations

17.

Pothos, Emmanuel M., et al.. (2008). Modeling Category Intuitiveness. eScholarship (California Digital Library). 30(30). 5 indexed citations

18.

Fadardi, Javad Salehi, et al.. (2006). How Do Cognitive Processes Support Over-eating?. eScholarship (California Digital Library). 28(28). 1 indexed citations

19.

Pothos, Emmanuel M.. (2002). A simplicity principle in unsupervised human categorization. Cognitive Science. 26(3). 303–343. 15 indexed citations

20.

Pothos, Emmanuel M. & Nick Chater. (2002). A simplicity principle in unsupervised human categorization. Cognitive Science. 26(3). 303–343. 137 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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