Koichi Yasuoka

186 total papers · 1.4k total citations
109 papers, 1.2k citations indexed

About

Koichi Yasuoka is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Koichi Yasuoka has authored 109 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Electrical and Electronic Engineering, 45 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Koichi Yasuoka's work include Plasma Applications and Diagnostics (45 papers), Plasma Diagnostics and Applications (21 papers) and Electrohydrodynamics and Fluid Dynamics (20 papers). Koichi Yasuoka is often cited by papers focused on Plasma Applications and Diagnostics (45 papers), Plasma Diagnostics and Applications (21 papers) and Electrohydrodynamics and Fluid Dynamics (20 papers). Koichi Yasuoka collaborates with scholars based in Japan, Canada and India. Koichi Yasuoka's co-authors include Nozomi Takeuchi, Ryuichi Hayashi, Shozo Ishii, Keisuke Sasaki, Kosuke Tachibana, Jen‐Shih Chang, Yasunori Matsui, Hideki Katayama, J. D. Fletcher and Akira Ishii and has published in prestigious journals such as Journal of Physics D Applied Physics, Japanese Journal of Applied Physics and Review of Scientific Instruments.

In The Last Decade

Koichi Yasuoka

106 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Koichi Yasuoka 722 632 244 242 135 109 1.2k
Goran B. Sretenović 719 1.0× 743 1.2× 64 0.3× 156 0.6× 62 0.5× 34 946
Shinobu Mukasa 644 0.9× 705 1.1× 52 0.2× 471 1.9× 11 0.1× 65 1.2k
Hiromichi Toyota 632 0.9× 681 1.1× 51 0.2× 446 1.8× 8 0.1× 75 1.2k
P. Arce 564 0.8× 854 1.4× 20 0.1× 173 0.7× 47 0.3× 75 1.4k
Takao Hayashi 209 0.3× 54 0.1× 132 0.5× 227 0.9× 47 0.3× 100 1.2k
V. Babický 986 1.4× 1.1k 1.7× 15 0.1× 259 1.1× 80 0.6× 38 1.3k
J.D. Skalný 656 0.9× 671 1.1× 5 0.0× 315 1.3× 58 0.4× 69 1.4k
T. Wydeven 304 0.4× 61 0.1× 28 0.1× 396 1.6× 15 0.1× 88 1.3k
W.R. Rutgers 990 1.4× 875 1.4× 6 0.0× 404 1.7× 47 0.3× 47 1.3k
Einar O. Fridjonsson 129 0.2× 120 0.2× 101 0.4× 77 0.3× 19 0.1× 64 1.1k

Countries citing papers authored by Koichi Yasuoka

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Yasuoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Yasuoka

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Yasuoka. A scholar is included among the top collaborators of Koichi Yasuoka 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 Koichi Yasuoka. Koichi Yasuoka 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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2026