Reiji Suzuki
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Developmental Biology top 2%
- Genetics
- Signal Processing top 5%
- Co-authors
- Takaya AritaKazuhiro NakadaiHiroshi G. OkunoMichał JoachimczakRyosuke KojimaMasanori KATOCharles TaylorOsamu Sugiyama
- Topics
- Evolutionary Game Theory and Cooperation (47 papers)Evolution and Genetic Dynamics (25 papers)Animal Vocal Communication and Behavior (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Virology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Reiji Suzuki
112 papers receiving 641 citations
Peers
Comparison fields: 5 of 83
- Sociology and Political Science 225
- Artificial Intelligence 148
- Developmental Biology 136
- Genetics 133
- Signal Processing 117
Countries citing papers authored by Reiji Suzuki
This map shows the geographic impact of Reiji Suzuki'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 Reiji Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reiji Suzuki more than expected).
Fields of papers citing papers by Reiji Suzuki
This network shows the impact of papers produced by Reiji Suzuki. 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 Reiji Suzuki. The network helps show where Reiji Suzuki may publish in the future.
Co-authorship network of co-authors of Reiji Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Reiji Suzuki. A scholar is included among the top collaborators of Reiji Suzuki 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 Reiji Suzuki. Reiji Suzuki 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 | 7 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | Evolving Learning Ability in Cyclically Dynamic Environments: The Structuring Force of Environmental Heterogeneity | 3 |
| 16 | Effects of Temporal Locality of Ecological Processes on Coevolution of Learning and Niche Construction | 3 |
| 17 | How Learning Can Guide Evolution of Communication | 9 |
| 18 | 101 | |
| 19 | Effects of Information Sharing on Diversity and Adaptivity of Behaviors in Competitive Populations ——Multi-Agent Simulation of Information Supplement of Congestion Status at Events—— | 1 |
| 20 | 1 |
About Reiji Suzuki
Reiji Suzuki is a scholar working on Developmental Biology, Cultural Studies and Statistical and Nonlinear Physics, having authored 124 papers that have together received 677 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (47 papers), Evolution and Genetic Dynamics (25 papers) and Animal Vocal Communication and Behavior (23 papers). The work is most often cited by research in Developmental Biology (136 citations), Signal Processing (117 citations) and Cultural Studies (66 citations). Reiji Suzuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takaya Arita, Kazuhiro Nakadai, Hiroshi G. Okuno, Michał Joachimczak, Ryosuke Kojima, Masanori KATO, Charles Taylor, Osamu Sugiyama, Takashi Ito and Martin L. Cody. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.
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.