Yoji Kawamura

1.4k total citations
53 papers, 1.0k citations indexed

About

Yoji Kawamura is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Yoji Kawamura has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Networks and Communications, 22 papers in Statistical and Nonlinear Physics and 10 papers in Cognitive Neuroscience. Recurrent topics in Yoji Kawamura's work include Nonlinear Dynamics and Pattern Formation (34 papers), stochastic dynamics and bifurcation (15 papers) and Neural dynamics and brain function (10 papers). Yoji Kawamura is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (34 papers), stochastic dynamics and bifurcation (15 papers) and Neural dynamics and brain function (10 papers). Yoji Kawamura collaborates with scholars based in Japan, United States and Australia. Yoji Kawamura's co-authors include Hiroya Nakao, Kensuke Arai, Yoshiki Kuramoto, Hiroshi Kori, Naoki Masuda, Tatsuo Yanagita, T. Hatano, Mikio Enoeda, T. Kuroda and Ken’ichi Furuya and has published in prestigious journals such as Physical Review Letters, Journal of Fluid Mechanics and Scientific Reports.

In The Last Decade

Yoji Kawamura

52 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yoji Kawamura Japan 19 634 437 284 145 97 53 1.0k
Daniele Avitabile United Kingdom 17 375 0.6× 311 0.7× 224 0.8× 92 0.6× 65 0.7× 46 1.2k
Dan Tanaka Japan 11 512 0.8× 428 1.0× 222 0.8× 210 1.4× 113 1.2× 19 1.1k
Bart E. Oldeman Canada 11 538 0.8× 526 1.2× 97 0.3× 102 0.7× 76 0.8× 14 1.5k
Natalia Janson United Kingdom 19 800 1.3× 785 1.8× 314 1.1× 66 0.5× 26 0.3× 52 1.6k
Jiang‐Xing Chen China 20 335 0.5× 305 0.7× 162 0.6× 223 1.5× 148 1.5× 67 1.1k
James W. Swift United States 13 717 1.1× 487 1.1× 144 0.5× 109 0.8× 57 0.6× 28 1.1k
Leonardo Parisi Italy 13 320 0.5× 298 0.7× 119 0.4× 85 0.6× 45 0.5× 26 1.0k
D. G. Luchinsky United Kingdom 26 712 1.1× 1.4k 3.2× 277 1.0× 168 1.2× 55 0.6× 138 2.0k
Annick Dhooge Belgium 8 441 0.7× 498 1.1× 201 0.7× 95 0.7× 15 0.2× 10 1.7k
Paul Glendinning United Kingdom 20 815 1.3× 1.1k 2.6× 105 0.4× 68 0.5× 35 0.4× 99 2.0k

Countries citing papers authored by Yoji Kawamura

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Arai, Takahiro, Yoji Kawamura, & Toshio Aoyagi. (2025). Setting of the Poincaré section for accurately calculating the phase of rhythmic spatiotemporal dynamics. Physical review. E. 111(1). 14205–14205. 1 indexed citations
2.
Ikeda, Hajime, et al.. (2019). Implementation and Verification of a Wi-Fi Ad Hoc Communication System in an Underground Mine Environment. Journal of Mining Science. 55(3). 505–514. 11 indexed citations
3.
Kawamura, Yoji, et al.. (2017). Optimizing mutual synchronization of rhythmic spatiotemporal patterns in reaction-diffusion systems. Physical review. E. 96(1). 12224–12224. 16 indexed citations
4.
Kawamura, Yoji & Hiroya Nakao. (2016). Optimization of noise-induced synchronization of oscillator networks. Physical review. E. 94(3). 32201–32201. 12 indexed citations
5.
Kawamura, Yoji, et al.. (2015). Phase synchronization between collective rhythms of globally coupled oscillator groups: Noisy identical case. Tokyo Tech Research Repository (Tokyo Institute of Technology). 12 indexed citations
6.
Nakao, Hiroya, et al.. (2015). Phase-Reduction Approach to Synchronization of Spatiotemporal Rhythms in Reaction-Diffusion Systems. Tokyo Tech Research Repository (Tokyo Institute of Technology). 47 indexed citations
7.
Kawamura, Yoji & Hiroya Nakao. (2014). Noise-induced synchronization of oscillatory convection and its optimization. Physical Review E. 89(1). 12912–12912. 12 indexed citations
8.
Kawamura, Yoji. (2013). Collective phase dynamics of globally coupled oscillators: Noise-induced anti-phase synchronization. Physica D Nonlinear Phenomena. 270. 20–29. 21 indexed citations
9.
Kori, Hiroshi, Yoji Kawamura, & Naoki Masuda. (2011). Structure of cell networks critically determines oscillation regularity. Journal of Theoretical Biology. 297. 61–72. 30 indexed citations
10.
Kawamura, Yoji, Hiroya Nakao, & Yoshiki Kuramoto. (2011). Collective phase description of globally coupled excitable elements. Physical Review E. 84(4). 46211–46211. 26 indexed citations
11.
Kori, Hiroshi, Yoji Kawamura, Hiroya Nakao, Kensuke Arai, & Yoshiki Kuramoto. (2009). Collective-phase description of coupled oscillators with general network structure. Physical Review E. 80(3). 36207–36207. 46 indexed citations
12.
Masuda, Naoki, Yoji Kawamura, & Hiroshi Kori. (2009). Analysis of relative influence of nodes in directed networks. Physical Review E. 80(4). 46114–46114. 18 indexed citations
13.
Kawamura, Yoji, Hiroya Nakao, Kensuke Arai, Hiroshi Kori, & Yoshiki Kuramoto. (2008). Collective Phase Sensitivity. Physical Review Letters. 101(2). 24101–24101. 76 indexed citations
14.
Nakao, Hiroya, Kensuke Arai, & Yoji Kawamura. (2007). Noise-Induced Synchronization and Clustering in Ensembles of Uncoupled Limit-Cycle Oscillators. Physical Review Letters. 98(18). 184101–184101. 148 indexed citations
15.
Kawamura, Yoji, Hiroya Nakao, & Yoshiki Kuramoto. (2007). Noise-induced turbulence in nonlocally coupled oscillators. Physical Review E. 75(3). 36209–36209. 43 indexed citations
16.
Curewitz, D., et al.. (2006). Drilling Vessel <i>Chikyu</i>: Status, Capabilities, and Current Operations. Scientific Drilling. 3. 52–53. 1 indexed citations
17.
Sherman, R.H., D. Taylor, Kevin G. Honnell, et al.. (2002). Radiochemical reactions between tritium and humid air. 1. 313–316. 2 indexed citations
18.
Kawamura, Yoji, et al.. (1989). Gauge Groups of ZN Orbifold Models. Progress of Theoretical Physics. 82(1). 171–182. 26 indexed citations
19.
Kawamura, Yoji, Tsuneo Suzuki, & Eiji Yamada. (1987). A Comment on a New Interpretation of the Chiral Anomaly. Progress of Theoretical Physics. 78(1). 32–37. 1 indexed citations
20.
Azechi, H., K. Imasaki, Yasukazu Izawa, et al.. (1979). Inertial confinement fusion research at Osaka. 3. 135–154. 1 indexed citations

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.

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