Yasuhiro Wada

32 total papers · 1.1k total citations
17 papers, 873 citations indexed

About

Yasuhiro Wada is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering. According to data from OpenAlex, Yasuhiro Wada has authored 17 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 8 papers in Applied Mathematics and 7 papers in Aerospace Engineering. Recurrent topics in Yasuhiro Wada's work include Computational Fluid Dynamics and Aerodynamics (10 papers), Gas Dynamics and Kinetic Theory (8 papers) and Plasma and Flow Control in Aerodynamics (5 papers). Yasuhiro Wada is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (10 papers), Gas Dynamics and Kinetic Theory (8 papers) and Plasma and Flow Control in Aerodynamics (5 papers). Yasuhiro Wada collaborates with scholars based in Japan, United States and Netherlands. Yasuhiro Wada's co-authors include Meng‐Sing Liou, Klavs F. Jensen, Martin A. Schmidt, Shigeru Obayashi, Satoru Ogawa, Shigeru Saito, Ryoji Takaki, Hiroshi Kobayashi, Yuichi Matsuo and Shigeru Sato and has published in prestigious journals such as Industrial & Engineering Chemistry Research, AIAA Journal and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Yasuhiro Wada

14 papers receiving 806 citations

Hit Papers

A flux splitting scheme w... 1994 2026 2004 2015 1994 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yasuhiro Wada 615 452 384 114 46 17 873
George Rudinger 616 1.0× 244 0.5× 381 1.0× 67 0.6× 55 1.2× 44 984
Paul V. Marrone 495 0.8× 769 1.7× 370 1.0× 31 0.3× 16 0.3× 19 978
I. R. Hurle 512 0.8× 260 0.6× 374 1.0× 54 0.5× 14 0.3× 23 1.0k
Harold Mirels 508 0.8× 433 1.0× 446 1.2× 52 0.5× 57 1.2× 56 1.0k
Alexander Kuranov 424 0.7× 299 0.7× 562 1.5× 47 0.4× 21 0.5× 46 728
William B. Bush 678 1.1× 253 0.6× 327 0.9× 50 0.4× 69 1.5× 55 929
Peter H. Rose 275 0.4× 330 0.7× 289 0.8× 47 0.4× 75 1.6× 49 756
G. Markelov 485 0.8× 691 1.5× 447 1.2× 24 0.2× 30 0.7× 60 833
W. Chester 576 0.9× 178 0.4× 177 0.5× 145 1.3× 192 4.2× 37 1.0k
D. Zeitoun 541 0.9× 433 1.0× 292 0.8× 28 0.2× 31 0.7× 67 709

Countries citing papers authored by Yasuhiro Wada

Since Specialization
Citations

This map shows the geographic impact of Yasuhiro Wada'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 Yasuhiro Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Wada more than expected).

Fields of papers citing papers by Yasuhiro Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasuhiro Wada. 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 Yasuhiro Wada. The network helps show where Yasuhiro Wada may publish in the future.

Co-authorship network of co-authors of Yasuhiro Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Wada. A scholar is included among the top collaborators of Yasuhiro Wada 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 Yasuhiro Wada. Yasuhiro Wada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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