Kei‐ichi Tainaka
- Genetics top 5%
- Evolution and Genetic Dynamics 42
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- Opinion Dynamics and Social Influence 13
- Complex Network Analysis Techniques 10
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- Mathematical and Theoretical Epidemiology and Ecology Models 38
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- Evolutionary Game Theory and Cooperation 48
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics 13
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- Plant and animal studies 19
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- Theoretical and Computational Physics 13
- Co-authors
- Jin YoshimuraTakashi NagataniGenki IchinoseYoshiaki ItohSatoru MoritaTatsuya TogashiHiromu ItoKazunori Satō
- Cited by
- GeneticsStatistical and Nonlinear PhysicsPublic Health, Environmental and Occupational Health
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (1 paper)PLoS ONE (3 papers)
- Partner nations
- JapanUnited StatesPhilippines
In The Last Decade
Kei‐ichi Tainaka
106 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 122
- Genetics 634
- Statistical and Nonlinear Physics 262
- Public Health, Environmental and Occupational Health 535
- Sociology and Political Science 725
- Mathematical Physics 148
Countries citing papers authored by Kei‐ichi Tainaka
This map shows the geographic impact of Kei‐ichi Tainaka'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 Kei‐ichi Tainaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei‐ichi Tainaka more than expected).
Fields of papers citing papers by Kei‐ichi Tainaka
This network shows the impact of papers produced by Kei‐ichi Tainaka. 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 Kei‐ichi Tainaka. The network helps show where Kei‐ichi Tainaka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kei‐ichi Tainaka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 0 | |
| 4 | 2018 | 51 | |
| 5 | 2018 | 3 | |
| 6 | 2018 | 32 | |
| 7 | 2018 | 13 | |
| 8 | 2018 | 22 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 1 | |
| 11 | 2015 | 0 | |
| 12 | 2011 | 8 | |
| 13 | Slightly male-biased sex ratios for the avoidance of extinction | 2011 | 3 |
| 14 | 2011 | 24 | |
| 15 | 2011 | 9 | |
| 16 | 2010 | 18 | |
| 17 | 2008 | 17 | |
| 18 | 2008 | 2 | |
| 19 | LK_006 Pattern analysis of fashion with the personal communication | 2006 | 1 |
| 20 | The role of rare species in the community stability of a model ecosystem | 2006 | 4 |
About Kei‐ichi Tainaka
Kei‐ichi Tainaka is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Genetics, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (48 papers), Evolution and Genetic Dynamics (42 papers), Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), Plant and animal studies (19 papers), Theoretical and Computational Physics (13 papers), Stochastic processes and statistical mechanics (13 papers), Opinion Dynamics and Social Influence (13 papers) and Complex Network Analysis Techniques (10 papers). The work is most often cited by research in Genetics (634 citations), Statistical and Nonlinear Physics (262 citations) and Public Health, Environmental and Occupational Health (535 citations). Kei‐ichi Tainaka has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Jin Yoshimura, Takashi Nagatani, Genki Ichinose, Yoshiaki Itoh, Satoru Morita, Tatsuya Togashi, Hiromu Ito, Kazunori Satō, Tarō Hayashi and Chris Simon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.
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.