Yuya Ohmichi
Impact in
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
- Combustion and flame dynamics
- Fluid Dynamics and Vibration Analysis
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- Model Reduction and Neural Networks
Papers in
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- Fluid Dynamics and Turbulent Flows 14
- Computational Fluid Dynamics and Aerodynamics 14
- Fluid Dynamics and Vibration Analysis 6
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- Aerodynamics and Acoustics in Jet Flows 7
- Co-authors
- Atsushi Hashimoto (5 shared papers)Kojiro Suzuki (9 shared papers)Shingo Matsuyama (4 shared papers)Hiroshi Gotoda (4 shared papers)Masahiro Kanazaki (2 shared papers)Kenji Kobayashi (2 shared papers)Hajime Shibuya (1 shared paper)Tatsuya Hashimoto (1 shared paper)
In The Last Decade
Yuya Ohmichi
28 papers receiving 335 citations
Peers
Comparison fields: 5 of 38
- Computational Mechanics 279
- Statistical and Nonlinear Physics 93
- Aerospace Engineering 146
- Fluid Flow and Transfer Processes 22
- Environmental Engineering 43
Countries citing papers authored by Yuya Ohmichi
This map shows the geographic impact of Yuya Ohmichi'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 Yuya Ohmichi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuya Ohmichi more than expected).
Fields of papers citing papers by Yuya Ohmichi
This network shows the impact of papers produced by Yuya Ohmichi. 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 Yuya Ohmichi. The network helps show where Yuya Ohmichi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuya Ohmichi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 54 | |
| 2 | 2019 | 39 | |
| 3 | 2017 | 32 | |
| 4 | 2019 | 29 | |
| 5 | 2021 | 25 | |
| 6 | 2017 | 21 | |
| 7 | 2017 | 15 | |
| 8 | 2014 | 14 | |
| 9 | 2015 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2016 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2011 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2013 | 6 |
About Yuya Ohmichi
Yuya Ohmichi is a scholar working on Computational Mechanics, Aerospace Engineering, Statistical and Nonlinear Physics, Environmental Engineering and Electrical and Electronic Engineering, having authored 30 papers that have together received 348 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (14 papers), Computational Fluid Dynamics and Aerodynamics (14 papers), Aerodynamics and Acoustics in Jet Flows (7 papers), Model Reduction and Neural Networks (6 papers), Fluid Dynamics and Vibration Analysis (6 papers), Wind and Air Flow Studies (4 papers), Advanced Photonic Communication Systems (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Computational Mechanics (279 citations), Statistical and Nonlinear Physics (93 citations), Aerospace Engineering (146 citations), Fluid Flow and Transfer Processes (22 citations) and Environmental Engineering (43 citations). Yuya Ohmichi has collaborated with scholars based in Japan and France. Frequent co-authors include Atsushi Hashimoto, Kojiro Suzuki, Shingo Matsuyama, Hiroshi Gotoda, Masahiro Kanazaki, Kenji Kobayashi, Hajime Shibuya, Tatsuya Hashimoto, Takashi Aoyama and Kosuke Nakamura. Their work appears in journals such as Physics of Fluids, AIAA Journal, Aerospace Science and Technology, Journal of Computational Physics and Optics Express.
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.