Edgar A. Duéñez‐Guzmán

1.0k total citations
23 papers, 407 citations indexed

About

Edgar A. Duéñez‐Guzmán is a scholar working on Sociology and Political Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Edgar A. Duéñez‐Guzmán has authored 23 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 7 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Genetics. Recurrent topics in Edgar A. Duéñez‐Guzmán's work include Evolutionary Game Theory and Cooperation (12 papers), Experimental Behavioral Economics Studies (5 papers) and Evolutionary Psychology and Human Behavior (5 papers). Edgar A. Duéñez‐Guzmán is often cited by papers focused on Evolutionary Game Theory and Cooperation (12 papers), Experimental Behavioral Economics Studies (5 papers) and Evolutionary Psychology and Human Behavior (5 papers). Edgar A. Duéñez‐Guzmán collaborates with scholars based in United States, United Kingdom and Belgium. Edgar A. Duéñez‐Guzmán's co-authors include Michael D. Vose, Tom Wenseleers, Sergey Gavrilets, Ali Emre Turgut, Eliseo Ferrante, David Haig, Marco Dorigo, Jesús Mavárez, Joel Z. Leibo and Francisco Úbeda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Evolution.

In The Last Decade

Edgar A. Duéñez‐Guzmán

23 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edgar A. Duéñez‐Guzmán United States 11 127 125 90 67 58 23 407
Takaya Arita Japan 11 261 2.1× 152 1.2× 189 2.1× 70 1.0× 82 1.4× 127 630
Reiji Suzuki Japan 11 225 1.8× 133 1.1× 148 1.6× 85 1.3× 90 1.6× 124 677
Matteo Cavaliere Italy 13 121 1.0× 95 0.8× 58 0.6× 21 0.3× 128 2.2× 63 709
Jeff Smith United States 14 172 1.4× 221 1.8× 136 1.5× 62 0.9× 6 0.1× 26 754
Jorge Peña Switzerland 16 431 3.4× 286 2.3× 103 1.1× 60 0.9× 7 0.1× 39 635
Sayantan Nag Chowdhury India 17 232 1.8× 180 1.4× 28 0.3× 17 0.3× 9 0.2× 24 783
Zhenghong Deng China 10 139 1.1× 68 0.5× 90 1.0× 14 0.2× 6 0.1× 21 320
Paul Marrow United Kingdom 13 420 3.3× 570 4.6× 54 0.6× 193 2.9× 10 0.2× 32 923
Dan Ashlock United States 12 191 1.5× 106 0.8× 126 1.4× 7 0.1× 14 0.2× 36 460
Kunal Bhattacharya Finland 11 112 0.9× 37 0.3× 18 0.2× 43 0.6× 13 0.2× 30 435

Countries citing papers authored by Edgar A. Duéñez‐Guzmán

Since Specialization
Citations

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

Fields of papers citing papers by Edgar A. Duéñez‐Guzmán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edgar A. Duéñez‐Guzmán. 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 Edgar A. Duéñez‐Guzmán. The network helps show where Edgar A. Duéñez‐Guzmán may publish in the future.

Co-authorship network of co-authors of Edgar A. Duéñez‐Guzmán

This figure shows the co-authorship network connecting the top 25 collaborators of Edgar A. Duéñez‐Guzmán. A scholar is included among the top collaborators of Edgar A. Duéñez‐Guzmán 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 Edgar A. Duéñez‐Guzmán. Edgar A. Duéñez‐Guzmán 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.
Duéñez‐Guzmán, Edgar A., Ramona Comanescu, Kevin R. McKee, et al.. (2025). Perceptual interventions ameliorate statistical discrimination in learning agents. Proceedings of the National Academy of Sciences. 122(25). e2319933121–e2319933121. 2 indexed citations
2.
Koster, Raphaël, Edgar A. Duéñez‐Guzmán, William A. Cunningham, & Joel Z. Leibo. (2025). Tabula rasa agents display emergent in-group behavior. Proceedings of the National Academy of Sciences. 122(25). e2319947121–e2319947121. 1 indexed citations
3.
Duéñez‐Guzmán, Edgar A., Suzanne Sadedin, Jane X. Wang, Kevin R. McKee, & Joel Z. Leibo. (2023). A social path to human-like artificial intelligence. Nature Machine Intelligence. 5(11). 1181–1188. 15 indexed citations
4.
Vinitsky, Eugene, Raphaël Koster, John Agapiou, et al.. (2023). A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings. 2(2). 2502884420–2502884420. 6 indexed citations
5.
Leibo, Joel Z., Raphaël Koster, Alexander Sasha Vezhnevets, et al.. (2022). What is the simplest model that can account for high-fidelity imitation?. Behavioral and Brain Sciences. 45. e261–e261. 1 indexed citations
6.
Chow, Yinlam, Ofir Nachum, Aleksandra Faust, Edgar A. Duéñez‐Guzmán, & Mohammad Ghavamzadeh. (2020). Safe Policy Learning for Continuous Control. 801–821. 3 indexed citations
7.
Hennes, Daniel, Dustin Morrill, Shayegan Omidshafiei, et al.. (2020). Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. 492–501. 8 indexed citations
8.
Leibo, Joel Z., Julien Pérolat, Edward Hughes, et al.. (2019). Malthusian Reinforcement Learning. arXiv (Cornell University). 1099–1107. 5 indexed citations
9.
Hughes, Edward, Joel Z. Leibo, Karl Tuyls, et al.. (2018). Inequity aversion resolves intertemporal social dilemmas. 3 indexed citations
10.
Wenseleers, Tom, Edgar A. Duéñez‐Guzmán, Bram Van den Bergh, et al.. (2015). Fitness trade‐offs explain low levels of persister cells in the opportunistic pathogen Pseudomonas aeruginosa. Molecular Ecology. 24(7). 1572–1583. 35 indexed citations
11.
Ferrante, Eliseo, Ali Emre Turgut, Edgar A. Duéñez‐Guzmán, Marco Dorigo, & Tom Wenseleers. (2015). Evolution of Self-Organized Task Specialization in Robot Swarms. PLoS Computational Biology. 11(8). e1004273–e1004273. 74 indexed citations
12.
Duéñez‐Guzmán, Edgar A. & David Haig. (2014). The Evolution of Reproduction-Related NLRP Genes. Journal of Molecular Evolution. 78(3-4). 194–201. 31 indexed citations
13.
Ferrante, Eliseo, Edgar A. Duéñez‐Guzmán, Ali Emre Turgut, & Tom Wenseleers. (2013). GESwarm. Lirias (KU Leuven). 17–24. 27 indexed citations
14.
Duéñez‐Guzmán, Edgar A. & Suzanne Sadedin. (2012). Evolving Righteousness in a Corrupt World. PLoS ONE. 7(9). e44432–e44432. 7 indexed citations
15.
Duéñez‐Guzmán, Edgar A. & Michael D. Vose. (2012). No Free Lunch and Benchmarks. Evolutionary Computation. 21(2). 293–312. 19 indexed citations
16.
Ramírez-Ortegón, Marte A., Edgar A. Duéñez‐Guzmán, Raúl Rojas, & Erik Cuevas. (2010). Unsupervised measures for parameter selection of binarization algorithms. Pattern Recognition. 44(3). 491–502. 10 indexed citations
17.
Úbeda, Francisco & Edgar A. Duéñez‐Guzmán. (2010). POWER AND CORRUPTION. Evolution. 65(4). 1127–1139. 17 indexed citations
18.
Duéñez‐Guzmán, Edgar A., Jesús Mavárez, Michael D. Vose, & Sergey Gavrilets. (2009). CASE STUDIES AND MATHEMATICAL MODELS OF ECOLOGICAL SPECIATION. 4. HYBRID SPECIATION IN BUTTERFLIES IN A JUNGLE. Evolution. 63(10). 2611–2626. 44 indexed citations
19.
Duéñez‐Guzmán, Edgar A.. (2009). Biological Simulations and Biologically Inspired Adaptive Systems. 1 indexed citations
20.
Gavrilets, Sergey, Edgar A. Duéñez‐Guzmán, & Michael D. Vose. (2008). Dynamics of Alliance Formation and the Egalitarian Revolution. PLoS ONE. 3(10). e3293–e3293. 49 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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