Takeshi Kanda
- Computational Mechanics top 0.5%
- Aerospace Engineering top 0.5%
- Applied Mathematics top 1%
- Fluid Flow and Transfer Processes top 5%
- Mechanical Engineering
- Co-authors
- Kenji KudoTohru MitaniKouichiro TaniSadatake TomiokaNobuo ChinzeiTetsuo HiraiwaYoshio WakamatsuGoro Masuya
- Topics
- Computational Fluid Dynamics and Aerodynamics (106 papers)Rocket and propulsion systems research (83 papers)Gas Dynamics and Kinetic Theory (56 papers)
- Partner nations
- JapanNetherlandsUnited States
In The Last Decade
Takeshi Kanda
122 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 41
- Computational Mechanics 1.4k
- Aerospace Engineering 1.3k
- Applied Mathematics 576
- Fluid Flow and Transfer Processes 129
- Mechanical Engineering 91
Countries citing papers authored by Takeshi Kanda
This map shows the geographic impact of Takeshi Kanda'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 Takeshi Kanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Kanda more than expected).
Fields of papers citing papers by Takeshi Kanda
This network shows the impact of papers produced by Takeshi Kanda. 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 Takeshi Kanda. The network helps show where Takeshi Kanda may publish in the future.
Co-authorship network of co-authors of Takeshi Kanda
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Kanda. A scholar is included among the top collaborators of Takeshi Kanda 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 Takeshi Kanda. Takeshi Kanda 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 24 | |
| 6 | 3 | |
| 7 | Conceptual Studies of Combined-Cycle Engine | 2 |
| 8 | Doubled Thrust by Boundary Layer Control in Scramjet Engines in Mach 4 and 6 | 1 |
| 9 | Mach 6 Tests of Scramjet Engine with Boundary-Layer Bleeding and Two-Staged Injection | 29 |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 35 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 94 | |
| 16 | 4 | |
| 17 | 52 | |
| 18 | Numerical simulation of steady/unsteady Mach reflection using shock capturing schemes | 0 |
| 19 | Mach 4 Testing of Scramjet Inlet Models (I) | 6 |
| 20 | 32 |
About Takeshi Kanda
Takeshi Kanda is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering, having authored 132 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (106 papers), Rocket and propulsion systems research (83 papers) and Gas Dynamics and Kinetic Theory (56 papers). The work is most often cited by research in Computational Mechanics (1.4k citations), Applied Mathematics (576 citations) and Aerospace Engineering (1.3k citations). Takeshi Kanda has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include Kenji Kudo, Tohru Mitani, Kouichiro Tani, Sadatake Tomioka, Nobuo Chinzei, Tetsuo Hiraiwa, Yoshio Wakamatsu, Goro Masuya, Atsuo Murakami and Kan Kobayashi. Their work appears in journals such as Scientific Reports, AIAA Journal and Physics of Fluids.
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.