Jun Tanimoto

315 papers receiving 8.1k citations

Jun Tanimoto's Hit Papers

Sociophysics Approach to Epidemics 2021 · 166 citations
1660+3+7Years since publication100200300400

Peers

Jun Tanimoto
Comparison fields: 5 of 150
  • Modeling and Simulation 1.6k
  • Safety Research 1.1k
  • Statistical and Nonlinear Physics 1.4k
  • Environmental Engineering 1.4k
  • Sociology and Political Science 3.9k
Replace Joshua M. Epstein with:
Joshua M. Epstein United States
Chris T. Bauch Canada
Chengyi Xia China
Marcel Salathé Switzerland
Anders Johansson Sweden
Lin Wang China
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Marko Jusup Japan
Marta C. González United States
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Jun Tanimoto relative to Joshua M. Epstein United States Joshua M. Epstein's profile →
Citations per field
00.5×10×17.3×
Joshua M. Epstein · 1×
Citations per year

Countries citing papers authored by Jun Tanimoto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tanimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Tanimoto, 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 Jun Tanimoto Line = papers co-authored together Jun Tanimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 337 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Universal scaling for the dilemma strength in evolutionary games
Hit paper breakdown →
2015460
2 2006317
3
Fundamentals of Evolutionary Game Theory and its Applications
Hit paper breakdown →
2015284
4 2013221
5 2012200
6 2018191
7 2018174
8 2009171
9
Sociophysics Approach to Epidemics
Hit paper breakdown →
2021166
10 2012157
11 2003149
12 2010114
13 2018111
14 2012106
15 2018100
16 2018100
17 202099
18 200797
19 201495
20 201092

About Jun Tanimoto

Jun Tanimoto is a scholar working on Sociology and Political Science, Public Health, Environmental and Occupational Health, Environmental Engineering, Genetics and Building and Construction, having authored 337 papers that have together received 8.3k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (124 papers), Mathematical and Theoretical Epidemiology and Ecology Models (75 papers), Evolution and Genetic Dynamics (65 papers), Wind and Air Flow Studies (51 papers), COVID-19 epidemiological studies (47 papers), Experimental Behavioral Economics Studies (40 papers), Building Energy and Comfort Optimization (39 papers) and Urban Heat Island Mitigation (38 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Safety Research (1.1k citations), Statistical and Nonlinear Physics (1.4k citations), Environmental Engineering (1.4k citations) and Sociology and Political Science (3.9k citations). Jun Tanimoto has collaborated with scholars based in Japan, Bangladesh and China. Frequent co-authors include Aya Hagishima, K. M. Ariful Kabir, Satoshi Kokubo, Hiroki Sagara, Kazuki Kuga, Naoki Ikegaya, Marko Jusup, Eriko Fukuda, Hiromu Ito and Zhen Wang. Their work appears in journals such as Chaos Solitons & Fractals, Physica A Statistical Mechanics and its Applications, Applied Mathematics and Computation, Building and Environment and Biosystems.

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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