Hiroshi Gotoda
- Computational Mechanics top 0.5%
- Computer Networks and Communications top 2%
- Fluid Flow and Transfer Processes top 1%
- Statistical and Nonlinear Physics top 2%
- Environmental Engineering top 5%
- Co-authors
- Shigeru TachibanaTakaya MiyanoYuta OkunoToshihisa UedaKenta HayashiIsao T. TokudaHiroaki KobayashiMasaki Kobayashi
- Topics
- Combustion and flame dynamics (55 papers)Nonlinear Dynamics and Pattern Formation (42 papers)Chaos control and synchronization (23 papers)
- Journals
- Journal of Applied PhysicsJournal of Fluid MechanicsInternational Journal of Heat and Mass Transfer
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Hiroshi Gotoda
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 65
- Computational Mechanics 1.2k
- Computer Networks and Communications 537
- Fluid Flow and Transfer Processes 476
- Statistical and Nonlinear Physics 449
- Environmental Engineering 275
Countries citing papers authored by Hiroshi Gotoda
This map shows the geographic impact of Hiroshi Gotoda'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 Hiroshi Gotoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Gotoda more than expected).
Fields of papers citing papers by Hiroshi Gotoda
This network shows the impact of papers produced by Hiroshi Gotoda. 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 Hiroshi Gotoda. The network helps show where Hiroshi Gotoda may publish in the future.
Co-authorship network of co-authors of Hiroshi Gotoda
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Gotoda. A scholar is included among the top collaborators of Hiroshi Gotoda 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 Hiroshi Gotoda. Hiroshi Gotoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 32 | |
| 11 | 39 | |
| 12 | 統計的複雑性と複雑ネットワーク理論に基づく熱音響燃焼振動の特性化と検出【JST・京大機械翻訳】 | 1 |
| 13 | 23 | |
| 14 | 32 | |
| 15 | 9 | |
| 16 | Stochastic versus chaotic behaviour in the noisy generalized Kuramoto-Sivashinsky equation | 1 |
| 17 | 48 | |
| 18 | 114 | |
| 19 | 1 | |
| 20 | Effect of Swirl on Flickering Motion of Diffusion Flame | 1 |
About Hiroshi Gotoda
Hiroshi Gotoda is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Statistical and Nonlinear Physics, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Combustion and flame dynamics (55 papers), Nonlinear Dynamics and Pattern Formation (42 papers) and Chaos control and synchronization (23 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (476 citations), Computational Mechanics (1.2k citations) and Statistical and Nonlinear Physics (449 citations). Hiroshi Gotoda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shigeru Tachibana, Takaya Miyano, Yuta Okuno, Toshihisa Ueda, Kenta Hayashi, Isao T. Tokuda, Hiroaki Kobayashi, Masaki Kobayashi, Seiji Yoshida and I.G. Shepherd. Their work appears in journals such as Journal of Applied Physics, Journal of Fluid Mechanics and International Journal of Heat and Mass Transfer.
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.