Akira Oyama

3.2k total citations
202 papers, 2.2k citations indexed

About

Akira Oyama is a scholar working on Aerospace Engineering, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Akira Oyama has authored 202 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Aerospace Engineering, 81 papers in Computational Mechanics and 56 papers in Computational Theory and Mathematics. Recurrent topics in Akira Oyama's work include Advanced Multi-Objective Optimization Algorithms (55 papers), Fluid Dynamics and Turbulent Flows (55 papers) and Computational Fluid Dynamics and Aerodynamics (47 papers). Akira Oyama is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (55 papers), Fluid Dynamics and Turbulent Flows (55 papers) and Computational Fluid Dynamics and Aerodynamics (47 papers). Akira Oyama collaborates with scholars based in Japan, United States and China. Akira Oyama's co-authors include Kozo Fujii, Taku Nonomura, Shigeru Obayashi, Koji Shimoyama, Meng‐Sing Liou, Ryoji Tanabe, Hideo Uchida, Kazuhiro Nakahashi, Takashi Nakamura and Hikaru Aono and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Biochemical and Biophysical Research Communications.

In The Last Decade

Akira Oyama

179 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akira Oyama Japan 25 1.3k 897 581 336 308 202 2.2k
Leifur Leifsson United States 24 781 0.6× 438 0.5× 693 1.2× 137 0.4× 124 0.4× 170 1.9k
Rajkumar Vaidyanathan United States 9 637 0.5× 373 0.4× 971 1.7× 392 1.2× 253 0.8× 18 2.3k
John T. Hwang United States 19 814 0.6× 521 0.6× 479 0.8× 125 0.4× 108 0.4× 102 2.0k
P. Tucker United States 9 572 0.5× 356 0.4× 784 1.3× 255 0.8× 178 0.6× 24 2.0k
Christian B Allen United Kingdom 24 674 0.5× 1.6k 1.8× 388 0.7× 86 0.3× 69 0.2× 124 2.0k
Thomas Rendall United Kingdom 23 617 0.5× 1.7k 1.9× 422 0.7× 163 0.5× 57 0.2× 147 2.3k
Thomas D. Economon United States 20 898 0.7× 1.3k 1.4× 223 0.4× 85 0.3× 51 0.2× 57 1.9k
Matteo Diez Italy 22 192 0.2× 437 0.5× 621 1.1× 301 0.9× 171 0.6× 125 1.7k
Jean‐Antoine Désidéri France 17 197 0.2× 708 0.8× 267 0.5× 70 0.2× 177 0.6× 81 1.3k
Kyriakos C. Giannakoglou Greece 15 208 0.2× 146 0.2× 829 1.4× 278 0.8× 432 1.4× 34 1.3k

Countries citing papers authored by Akira Oyama

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Sekimoto, Satoshi, et al.. (2025). Effect of pressure sensor arrangement on deep reinforcement learning-based feedback control of separated flow around aerofoils. Aerospace Science and Technology. 164. 110347–110347.
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Nonomura, Taku, et al.. (2021). Generalized estimation methods of turbulent fluctuation of high-speed flow with single-pixel resolution particle image velocimetry. Measurement Science and Technology. 32(12). 125306–125306. 4 indexed citations
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Fujita, Koji, et al.. (2020). Attitude Estimation using Thermopile Sensors on Mars Airplane Balloon Experiment-1 (MABE-1). TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 18(2). 17–24.
7.
Fujita, Koji, et al.. (2019). Flight Control Parameter Design for Mars Airplane Balloon Experiment-1 (MABE-1) Using Evolutionary Computation. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 17(4). 512–518. 4 indexed citations
8.
Oyama, Akira, et al.. (2017). Simultaneous structure design optimization of multiple car models using the K computer. 1–4. 18 indexed citations
9.
Iwata, Takahiro, Yasuhiro Kawakatsu, Go Murakami, et al.. (2016). Studies on Solar System Explorations using DESTINY: the Demonstration and Experiment of Space Technology for Interplanetary Voyage. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 14(ists30). Pk_111–Pk_116. 2 indexed citations
10.
Fujita, Koji, Hiroki Nagai, & Akira Oyama. (2016). A Parametric Study of Mars Airplane Concept for Science Mission on Mars. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 14(ists30). Pk_83–Pk_88. 5 indexed citations
11.
Nonomura, Taku, et al.. (2016). Multiobjective Design Exploration of Propeller Airfoils at Low-Reynolds and High-Mach Number Conditions towards Mars Airplane. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 14(ists30). Pk_47–Pk_53. 1 indexed citations
12.
Nagai, Hiroki & Akira Oyama. (2016). Development of Japanese mars airplane. 4 indexed citations
13.
Otake, Hisashi, et al.. (2015). Selection of Landing Sites for Future Lunar Missions with Multi-Objective Optimization. Lunar and Planetary Science Conference. 1368. 1 indexed citations
14.
Nonomura, Taku, et al.. (2014). Multi-objective Optimization of Airfoil for Mars Exploration Aircraft Using Genetic Algorithm. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 12(ists29). Pk_59–Pk_64. 5 indexed citations
15.
Nonomura, Taku, et al.. (2014). Computational Analysis of Aerodynamic Performance of Mars Airplane. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 12(ists29). Tk_1–Tk_5. 3 indexed citations
16.
Aono, Hikaru, Taku Nonomura, Masayuki Anyoji, et al.. (2014). Analysis of Owl-like Airfoil Aerodynamics at Low Reynolds Number Flow. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 12(ists29). Tk_35–Tk_40. 9 indexed citations
17.
Anyoji, Masayuki, et al.. (2014). Planetary Atmosphere Wind Tunnel Tests on Aerodynamic Characteristics of a Mars Airplane Scale Model. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 12(ists29). Pk_7–Pk_12. 11 indexed citations
18.
Nonomura, Taku, et al.. (2012). Aerodynamic Design Exploration for Reusable Launch Vehicle Using Genetic Algorithm with Navier Stokes Solver. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 10(ists28). Pe_55–Pe_63.
19.
Oyama, Akira. (2000). Multidisciplinary Optimization Of Transonic Wing Design Based On Evolutionary Algorithms Coupled With Cfd Solver. 5 indexed citations
20.
Oyama, Akira, Shigeru Obayashi, Kazuhiro Nakahashi, & Takashi Nakamura. (1998). Aerodynamic Shape Optimization of a Three-Dimensional Wing by Genetic Algorithm.. The Journal of the Japan Society of Aeronautical Engineering. 46(539). 682–686. 1 indexed citations

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.

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