Hiromi Seno
- Public Health, Environmental and Occupational Health top 10%
- Genetics top 10%
- Modeling and Simulation top 5%
- Sociology and Political Science
- Ecology
- Co-authors
- Horst MalchowMark A. LewisFrank M. HilkerMichel LanglaisDipo AldilaHisao NakajimaIvo SiekmannHiroyuki Matsuda
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (33 papers)Evolution and Genetic Dynamics (22 papers)Evolutionary Game Theory and Cooperation (17 papers)
In The Last Decade
Hiromi Seno
41 papers receiving 362 citations
Peers
Comparison fields: 5 of 67
- Public Health, Environmental and Occupational Health 222
- Genetics 178
- Modeling and Simulation 88
- Sociology and Political Science 77
- Ecology 76
Countries citing papers authored by Hiromi Seno
This map shows the geographic impact of Hiromi Seno'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 Hiromi Seno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromi Seno more than expected).
Fields of papers citing papers by Hiromi Seno
This network shows the impact of papers produced by Hiromi Seno. 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 Hiromi Seno. The network helps show where Hiromi Seno may publish in the future.
Co-authorship network of co-authors of Hiromi Seno
This figure shows the co-authorship network connecting the top 25 collaborators of Hiromi Seno. A scholar is included among the top collaborators of Hiromi Seno 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 Hiromi Seno. Hiromi Seno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 20 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 47 | |
| 13 | 26 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | SOME TIME-DISCRETE MODELS DERIVED FROM ODE FOR SINGLE-SPECIES POPULATION DYNAMICS : LESLIE'S IDEA REVISITED | 1 |
| 19 | 8 | |
| 20 | 4 |
About Hiromi Seno
Hiromi Seno is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 47 papers that have together received 375 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (33 papers), Evolution and Genetic Dynamics (22 papers) and Evolutionary Game Theory and Cooperation (17 papers). The work is most often cited by research in Modeling and Simulation (88 citations), Public Health, Environmental and Occupational Health (222 citations) and Genetics (178 citations). Hiromi Seno has collaborated with scholars based in Japan, Germany and France. Frequent co-authors include Horst Malchow, Mark A. Lewis, Frank M. Hilker, Michel Langlais, Dipo Aldila, Hisao Nakajima, Ivo Siekmann, Hiroyuki Matsuda, Yoshihiro Haraguchi and Ishfaq Ahmad. Their work appears in journals such as Journal of Theoretical Biology, Ecological Modelling and Mathematical Biosciences.
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.