Yoji Kawamura
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 2%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Hiroya NakaoKensuke AraiYoshiki KuramotoHiroshi KoriNaoki MasudaTatsuo YanagitaT. KurodaSatoshi Konishi
- Topics
- Nonlinear Dynamics and Pattern Formation (34 papers)stochastic dynamics and bifurcation (15 papers)Neural dynamics and brain function (10 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Yoji Kawamura
52 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Computer Networks and Communications 634
- Statistical and Nonlinear Physics 437
- Cognitive Neuroscience 284
- Biomedical Engineering 145
- Materials Chemistry 97
Countries citing papers authored by Yoji Kawamura
This map shows the geographic impact of Yoji Kawamura'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 Yoji Kawamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoji Kawamura more than expected).
Fields of papers citing papers by Yoji Kawamura
This network shows the impact of papers produced by Yoji Kawamura. 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 Yoji Kawamura. The network helps show where Yoji Kawamura may publish in the future.
Co-authorship network of co-authors of Yoji Kawamura
This figure shows the co-authorship network connecting the top 25 collaborators of Yoji Kawamura. A scholar is included among the top collaborators of Yoji Kawamura 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 Yoji Kawamura. Yoji Kawamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 12 | |
| 6 | Phase synchronization between collective rhythms of globally coupled oscillator groups: Noisy identical case | 12 |
| 7 | Phase-Reduction Approach to Synchronization of Spatiotemporal Rhythms in Reaction-Diffusion Systems | 47 |
| 8 | An investigation on applicability of Wireless Sensor Network in Underground Space Monitoring and Communication Systems | 2 |
| 9 | 12 | |
| 10 | 8 | |
| 11 | 21 | |
| 12 | 30 | |
| 13 | 26 | |
| 14 | 18 | |
| 15 | 46 | |
| 16 | 76 | |
| 17 | 43 | |
| 18 | 148 | |
| 19 | 2 | |
| 20 | 26 |
About Yoji Kawamura
Yoji Kawamura is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (34 papers), stochastic dynamics and bifurcation (15 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (437 citations), Computer Networks and Communications (634 citations) and Cognitive Neuroscience (284 citations). Yoji Kawamura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hiroya Nakao, Kensuke Arai, Yoshiki Kuramoto, Hiroshi Kori, Naoki Masuda, Tatsuo Yanagita, T. Kuroda, Satoshi Konishi, K. Okano and Haruto NAKAMURA. Their work appears in journals such as Physical Review Letters, Journal of Fluid Mechanics and Scientific Reports.
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.