Akira Oyama
- Aerospace Engineering top 0.5%
- Computational Mechanics top 1%
- Computational Theory and Mathematics top 1%
- Mechanical Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Kozo FujiiTaku NonomuraShigeru ObayashiKoji ShimoyamaMeng‐Sing LiouRyoji TanabeHideo UchidaKazuhiro Nakahashi
- Topics
- Advanced Multi-Objective Optimization Algorithms (55 papers)Fluid Dynamics and Turbulent Flows (55 papers)Computational Fluid Dynamics and Aerodynamics (47 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Computational PhysicsBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Akira Oyama
179 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 89
- Aerospace Engineering 1.3k
- Computational Mechanics 897
- Computational Theory and Mathematics 581
- Mechanical Engineering 336
- Artificial Intelligence 308
Countries citing papers authored by Akira Oyama
This map shows the geographic impact of Akira Oyama'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 Akira Oyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Oyama more than expected).
Fields of papers citing papers by Akira Oyama
This network shows the impact of papers produced by Akira Oyama. 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 Akira Oyama. The network helps show where Akira Oyama may publish in the future.
Co-authorship network of co-authors of Akira Oyama
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Oyama. A scholar is included among the top collaborators of Akira Oyama 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 Akira Oyama. Akira Oyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | Development of Japanese mars airplane | 4 |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | Selection of Landing Sites for Future Lunar Missions with Multi-Objective Optimization | 1 |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 11 | |
| 16 | 0 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Akira Oyama
Akira Oyama is a scholar working on Aerospace Engineering, Computational Mechanics and Computational Theory and Mathematics, having authored 202 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (55 papers), Fluid Dynamics and Turbulent Flows (55 papers) and Computational Fluid Dynamics and Aerodynamics (47 papers). The work is most often cited by research in Aerospace Engineering (1.3k citations), Computational Mechanics (897 citations) and Computational Theory and Mathematics (581 citations). Akira Oyama has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kozo Fujii, Taku Nonomura, Shigeru Obayashi, Koji Shimoyama, Meng‐Sing Liou, Ryoji Tanabe, Hideo Uchida, Kazuhiro Nakahashi, Hikaru Aono and Takashi Nakamura. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Biochemical and Biophysical Research Communications.
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.