Takahiro Ukai
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows 12
- Computational Fluid Dynamics and Aerodynamics 12
- Aerospace Engineering top 5%
- Plasma and Flow Control in Aerodynamics 9
- Aerodynamics and Acoustics in Jet Flows 6
- Combustion and Detonation Processes 3
- Applied Mathematics top 10%
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- Laser-Plasma Interactions and Diagnostics 3
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- Particle Dynamics in Fluid Flows 3
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- Heat Transfer Mechanisms 3
- Co-authors
- Konstantinos KontisHossein Zare‐BehtashShigeru ObayashiKin Hing LoShigeru KobayashiHidezo YoshizawaYudo HachiyaErinc Erdem
- Journals
- Physics of Fluids (4 papers)Acta Astronautica (3 papers)Experimental Thermal and Fluid Science (3 papers)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Takahiro Ukai
29 papers receiving 473 citations
Peers
Comparison fields: 5 of 66
- Computational Mechanics 271
- Aerospace Engineering 262
- Pathology and Forensic Medicine 84
- Applied Mathematics 39
- Pharmacology 55
Countries citing papers authored by Takahiro Ukai
This map shows the geographic impact of Takahiro Ukai'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 Takahiro Ukai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Ukai more than expected).
Fields of papers citing papers by Takahiro Ukai
This network shows the impact of papers produced by Takahiro Ukai. 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 Takahiro Ukai. The network helps show where Takahiro Ukai may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Takahiro Ukai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 1 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 18 | |
| 9 | 2019 | 22 | |
| 10 | 2018 | 11 | |
| 11 | 2018 | 39 | |
| 12 | 2017 | 5 | |
| 13 | 2016 | 6 | |
| 14 | 2015 | 0 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 2 | |
| 17 | 2014 | 4 | |
| 18 | 2014 | 48 | |
| 19 | 2013 | 77 | |
| 20 | 1993 | 101 |
About Takahiro Ukai
Takahiro Ukai is a scholar working on Computational Mechanics, Aerospace Engineering and Instrumentation, having authored 31 papers that have together received 487 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (12 papers), Computational Fluid Dynamics and Aerodynamics (12 papers), Plasma and Flow Control in Aerodynamics (9 papers), Aerodynamics and Acoustics in Jet Flows (6 papers), Laser-Plasma Interactions and Diagnostics (3 papers), Combustion and Detonation Processes (3 papers), Particle Dynamics in Fluid Flows (3 papers) and Heat Transfer Mechanisms (3 papers). The work is most often cited by research in Computational Mechanics (271 citations), Aerospace Engineering (262 citations) and Pathology and Forensic Medicine (84 citations). Takahiro Ukai has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Konstantinos Kontis, Hossein Zare‐Behtash, Shigeru Obayashi, Kin Hing Lo, Shigeru Kobayashi, Hidezo Yoshizawa, Yudo Hachiya, Erinc Erdem, Leichao Yang and K. Ohtani. Their work appears in journals such as Physics of Fluids, Acta Astronautica, Experimental Thermal and Fluid Science, Aerospace Science and Technology and International Journal of Heat and Fluid Flow.
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.