Keigo Matsuda
- Computational Mechanics top 5%
- Ocean Engineering top 5%
- Earth-Surface Processes top 10%
- Environmental Engineering top 10%
- Atmospheric Science
- Co-authors
- Ryo OnishiKeiko TakahashiKai SchneiderKoji NagataJames J. RileyTomoaki WatanabeRyoichi KuroseSatoru Komori
- Topics
- Particle Dynamics in Fluid Flows (17 papers)Aeolian processes and effects (14 papers)Fluid Dynamics and Turbulent Flows (11 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaJournal of Fluid Mechanics
- Partner nations
- JapanFranceUnited States
In The Last Decade
Keigo Matsuda
31 papers receiving 298 citations
Peers
Comparison fields: 5 of 51
- Computational Mechanics 150
- Ocean Engineering 134
- Earth-Surface Processes 86
- Environmental Engineering 73
- Atmospheric Science 67
Countries citing papers authored by Keigo Matsuda
This map shows the geographic impact of Keigo Matsuda'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 Keigo Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keigo Matsuda more than expected).
Fields of papers citing papers by Keigo Matsuda
This network shows the impact of papers produced by Keigo Matsuda. 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 Keigo Matsuda. The network helps show where Keigo Matsuda may publish in the future.
Co-authorship network of co-authors of Keigo Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Keigo Matsuda. A scholar is included among the top collaborators of Keigo Matsuda 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 Keigo Matsuda. Keigo Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 16 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 27 | |
| 16 | Generalized Combined Segmentation-Verification for Multi-Script Signatures using Random-Impostor Training | 1 |
| 17 | 17 | |
| 18 | 9 | |
| 19 | 18 | |
| 20 | 9 |
About Keigo Matsuda
Keigo Matsuda is a scholar working on Earth-Surface Processes, Ocean Engineering and Computational Mechanics, having authored 33 papers that have together received 310 indexed citations. Recurring topics across this work include Particle Dynamics in Fluid Flows (17 papers), Aeolian processes and effects (14 papers) and Fluid Dynamics and Turbulent Flows (11 papers). The work is most often cited by research in Earth-Surface Processes (86 citations), Ocean Engineering (134 citations) and Computational Mechanics (150 citations). Keigo Matsuda has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Ryo Onishi, Keiko Takahashi, Kai Schneider, Keiko Takahashi, Koji Nagata, James J. Riley, Tomoaki Watanabe, Ryoichi Kurose, Satoru Komori and Shogo Komori. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.
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.