Cédric Perret

13 papers receiving 284 citations

Peers

Cédric Perret
Comparison fields: 5 of 80
  • Safety Research 114
  • Health Informatics 15
  • Sociology and Political Science 180
  • Statistical and Nonlinear Physics 41
  • Experimental and Cognitive Psychology 42
Replace Wataru Toyokawa with:
Wataru Toyokawa Japan
Rory Smead United States
Joung-Hun Lee Japan
Patrick Roos United States
Yen-Sheng Chiang Taiwan
Jason Alexander United Kingdom
Alberto Antonioni Spain
Isamu Okada Japan
Marco Campennì United States
Cédric Perret relative to Wataru Toyokawa Japan Wataru Toyokawa's profile →
Citations per field
00.5×3.8×
Wataru Toyokawa · 1×
Citations per year

Countries citing papers authored by Cédric Perret

Since Specialization
Citations

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

Fields of papers citing papers by Cédric Perret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cédric Perret. 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 Cédric Perret. The network helps show where Cédric Perret may publish in the future.

Co-authors

The 18 scholars most cited alongside Cédric Perret, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cédric Perret Line = papers co-authored together Cédric Perret links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201883
2 202152
3 202134
4 202124
5 202323
6 202119
7 202018
8 202017
9 20175
10 20235
11 20234
12 20173
13 20222
14 20190

About Cédric Perret

Cédric Perret is a scholar working on Sociology and Political Science, Safety Research, Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Genetics, having authored 14 papers that have together received 289 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (10 papers), Experimental Behavioral Economics Studies (7 papers), Evolutionary Psychology and Human Behavior (3 papers), Opinion Dynamics and Social Influence (3 papers), Evolution and Genetic Dynamics (2 papers), Complex Network Analysis Techniques (1 paper), Animal Behavior and Reproduction (1 paper) and Blockchain Technology Applications and Security (1 paper). The work is most often cited by research in Safety Research (114 citations), Health Informatics (15 citations), Sociology and Political Science (180 citations), Statistical and Nonlinear Physics (41 citations) and Experimental and Cognitive Psychology (42 citations). Cédric Perret has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include The Anh Han, Simon T. Powers, Emma Hart, Neil Urquhart, Jeremy Pitt, Michael Guckert, Terry R. Payne, Simon Wells, Péter András and Peter R. Lewis. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Scientific Reports, Proceedings of the Royal Society B Biological Sciences, Journal of Theoretical Biology and Chaos Solitons & Fractals.

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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