Hiromu Ito
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 5
- Safety Research top 5%
- Experimental Behavioral Economics Studies 10
- Genetics top 10%
- Evolution and Genetic Dynamics 14
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- Evolutionary Game Theory and Cooperation 15
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- Mathematical and Theoretical Epidemiology and Ecology Models 7
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- Plant and animal studies 11
- Animal Behavior and Reproduction 5
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- Ecology and Vegetation Dynamics Studies 6
- Co-authors
- Jun TanimotoJin YoshimuraSatoru MoritaTaro YamamotoMarko JusupK. M. Ariful KabirMd. Rajib ArefinKei‐ichi Tainaka
- Journals
- Scientific Reports (18 papers)Royal Society Open Science (5 papers)Journal of PHYSIOLOGICAL ANTHROPOLOGY (5 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Hiromu Ito
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 148
- Modeling and Simulation 70
- Safety Research 126
- Genetics 274
- Sociology and Political Science 339
- Public Health, Environmental and Occupational Health 189
Countries citing papers authored by Hiromu Ito
This map shows the geographic impact of Hiromu Ito'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 Hiromu Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromu Ito more than expected).
Fields of papers citing papers by Hiromu Ito
This network shows the impact of papers produced by Hiromu Ito. 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 Hiromu Ito. The network helps show where Hiromu Ito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiromu Ito, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 13 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 0 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 57 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 51 | |
| 12 | 2017 | 9 | |
| 13 | 2017 | 4 | |
| 14 | 2016 | 15 | |
| 15 | 2015 | 14 | |
| 16 | 2015 | 6 | |
| 17 | Slightly male-biased sex ratios for the avoidance of extinction | 2011 | 3 |
| 18 | 2011 | 52 | |
| 19 | 2008 | 17 | |
| 20 | 1999 | 45 |
About Hiromu Ito
Hiromu Ito is a scholar working on Safety Research, Modeling and Simulation and Genetics, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (15 papers), Evolution and Genetic Dynamics (14 papers), Plant and animal studies (11 papers), Experimental Behavioral Economics Studies (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Ecology and Vegetation Dynamics Studies (6 papers), Animal Behavior and Reproduction (5 papers) and COVID-19 epidemiological studies (5 papers). The work is most often cited by research in Modeling and Simulation (70 citations), Safety Research (126 citations) and Genetics (274 citations). Hiromu Ito has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Jun Tanimoto, Jin Yoshimura, Satoru Morita, Taro Yamamoto, Marko Jusup, K. M. Ariful Kabir, Md. Rajib Arefin, Kei‐ichi Tainaka, Takashi Nakamura and Genki Ichinose. Their work appears in journals such as Scientific Reports, Royal Society Open Science, Journal of PHYSIOLOGICAL ANTHROPOLOGY, PLoS ONE and Journal of Ethology.
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.