Simon T. Powers

1.4k total citations
43 papers, 826 citations indexed

About

Simon T. Powers is a scholar working on Sociology and Political Science, Safety Research and Genetics. According to data from OpenAlex, Simon T. Powers has authored 43 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Sociology and Political Science, 15 papers in Safety Research and 10 papers in Genetics. Recurrent topics in Simon T. Powers's work include Evolutionary Game Theory and Cooperation (30 papers), Experimental Behavioral Economics Studies (12 papers) and Evolution and Genetic Dynamics (10 papers). Simon T. Powers is often cited by papers focused on Evolutionary Game Theory and Cooperation (30 papers), Experimental Behavioral Economics Studies (12 papers) and Evolution and Genetic Dynamics (10 papers). Simon T. Powers collaborates with scholars based in United Kingdom, Switzerland and Germany. Simon T. Powers's co-authors include Laurent Lehmann, Jun He, Richard A. Watson, Cédric Perret, Michael Guckert, Carel P. van Schaik, The Anh Han, Alexandra S. Penn, Rob Mills and Peter R. Lewis and has published in prestigious journals such as PLoS ONE, Philosophical Transactions of the Royal Society B Biological Sciences and Evolution.

In The Last Decade

Simon T. Powers

41 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon T. Powers United Kingdom	16	420	183	130	122	121	43	826
Arend Hintze United States	16	311 0.7×	88 0.5×	244 1.9×	65 0.5×	173 1.4×	78	1.2k
Markus Brede United Kingdom	18	265 0.6×	45 0.2×	144 1.1×	80 0.7×	157 1.3×	69	1.1k
Rineke Verbrugge Netherlands	20	271 0.6×	156 0.9×	35 0.3×	127 1.0×	590 4.9×	118	1.4k
Eizo Akiyama Japan	15	389 0.9×	206 1.1×	138 1.1×	89 0.7×	47 0.4×	41	694
Fernando P. Santos Portugal	16	640 1.5×	361 2.0×	164 1.3×	159 1.3×	62 0.5×	45	956
Seth Bullock United Kingdom	19	218 0.5×	24 0.1×	124 1.0×	33 0.3×	181 1.5×	126	1.2k
Sergi Lozano Spain	18	239 0.6×	35 0.2×	75 0.6×	27 0.2×	44 0.4×	43	1.0k
Jason Noble United Kingdom	18	163 0.4×	18 0.1×	85 0.7×	32 0.3×	160 1.3×	67	954
Edgar A. Duéñez‐Guzmán United States	11	127 0.3×	51 0.3×	125 1.0×	38 0.3×	90 0.7×	23	407
Albert B. Kao United States	11	282 0.7×	38 0.2×	143 1.1×	12 0.1×	53 0.4×	17	766

Countries citing papers authored by Simon T. Powers

Since Specialization

Citations

This map shows the geographic impact of Simon T. Powers'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 Simon T. Powers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon T. Powers more than expected).

Fields of papers citing papers by Simon T. Powers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon T. Powers. 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 Simon T. Powers. The network helps show where Simon T. Powers may publish in the future.

Co-authorship network of co-authors of Simon T. Powers

This figure shows the co-authorship network connecting the top 25 collaborators of Simon T. Powers. A scholar is included among the top collaborators of Simon T. Powers 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 Simon T. Powers. Simon T. Powers 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

Stefano, Alessandro Di, et al.. (2025). Trust AI regulation? Discerning users are vital to build trust and effective AI regulation. Applied Mathematics and Computation. 508. 129627–129627.

Powers, Simon T., Cédric Perret, & Thomas E. Currie. (2023). Playing the political game: the coevolution of institutions with group size and political inequality. Philosophical Transactions of the Royal Society B Biological Sciences. 378(1883). 20220303–20220303. 4 indexed citations

Powers, Simon T., O. Linnyk, Michael Guckert, et al.. (2023). The Stuff We Swim in: Regulation Alone Will Not Lead to Justifiable Trust in AI. IEEE Technology and Society Magazine. 42(4). 95–106. 10 indexed citations

Buskell, Andrew, et al.. (2023). Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research. Artificial Life. 30(3). 417–438. 8 indexed citations

Perret, Cédric & Simon T. Powers. (2022). An investigation of the role of leadership in consensus decision-making. Journal of Theoretical Biology. 543. 111094–111094. 2 indexed citations

Bryden, John, Eric Silverman, & Simon T. Powers. (2022). Modelling transitions between egalitarian, dynamic leader and absolutist power structures. PLoS ONE. 17(2). e0263665–e0263665. 1 indexed citations

Lehmann, Laurent, Simon T. Powers, & Carel P. van Schaik. (2022). Four levers of reciprocity across human societies: concepts, analysis and predictions. Evolutionary Human Sciences. 4. e11–e11. 7 indexed citations

Powers, Simon T., et al.. (2021). An overview of agent-based traffic simulators. Research Output (Edinburgh Napier University). 56 indexed citations

Powers, Simon T., Carel P. van Schaik, & Laurent Lehmann. (2021). Cooperation in large‐scale human societies—What, if anything, makes it unique, and how did it evolve?. Evolutionary Anthropology Issues News and Reviews. 30(4). 280–293. 17 indexed citations

10.

Powers, Simon T. & Jeremy Pitt. (2018). Can justice be fair when it is blind? How social network structures can promote or prevent the evolution of despotism. Research Output (Edinburgh Napier University). 4 indexed citations

11.

Perret, Cédric, Simon T. Powers, & Emma Hart. (2017). Emergence of hierarchy from the evolution of individual influence in an agent-based model. Research Output (Edinburgh Napier University). 3 indexed citations

12.

Watson, Richard A., et al.. (2015). Evolutionary Connectionism: Algorithmic Principles Underlying the Evolution of Biological Organisation in Evo-Devo, Evo-Eco and Evolutionary Transitions. Evolutionary Biology. 43(4). 553–581. 54 indexed citations

13.

Watson, Richard A., et al.. (2015). What can ecosystems learn? Expanding evolutionary ecology with learning theory. Biology Direct. 10(1). 69–69. 47 indexed citations

14.

Powers, Simon T., et al.. (2015). Social niche construction and evolutionary transitions in individuality. Biology & Philosophy. 31(1). 59–79. 19 indexed citations

15.

Powers, Simon T., et al.. (2012). Punishment can promote defection in group-structured populations. Journal of Theoretical Biology. 311. 107–116. 22 indexed citations

16.

Powers, Simon T., Alexandra S. Penn, & Richard A. Watson. (2011). THE CONCURRENT EVOLUTION OF COOPERATION AND THE POPULATION STRUCTURES THAT SUPPORT IT. Evolution. 65(6). 1527–1543. 56 indexed citations

17.

Noble, Jason, et al.. (2010). Selection pressures for a theory-of-mind faculty in artificial agents. Artificial Life. 615. 4 indexed citations

18.

Bryson, Joanna J., Petra Kaczensky, & Simon T. Powers. (2009). Exploring Knowledge Dissemination as a Selective Force for Aggregation: Preliminary Results from Modelling Wild Asiatic Asses. 100(2). 563–578. 1 indexed citations

19.

Penn, Alexandra S., et al.. (2008). Mechanisms for the initiation of multicellularity in bacterial biofilms.. Artificial Life. 794. 4 indexed citations

20.

Powers, Simon T., Alexandra S. Penn, & Richard A. Watson. (2008). The Efficacy of Group Selection is Increased by Coexistence Dynamics within Groups. Artificial Life. 498–505. 2 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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