Takeo KAJISHIMA

355 total papers · 2.6k total citations
157 papers, 1.9k citations indexed

About

Takeo KAJISHIMA is a scholar working on Computational Mechanics, Ocean Engineering and Aerospace Engineering. According to data from OpenAlex, Takeo KAJISHIMA has authored 157 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Computational Mechanics, 45 papers in Ocean Engineering and 25 papers in Aerospace Engineering. Recurrent topics in Takeo KAJISHIMA's work include Fluid Dynamics and Turbulent Flows (62 papers), Lattice Boltzmann Simulation Studies (42 papers) and Particle Dynamics in Fluid Flows (39 papers). Takeo KAJISHIMA is often cited by papers focused on Fluid Dynamics and Turbulent Flows (62 papers), Lattice Boltzmann Simulation Studies (42 papers) and Particle Dynamics in Fluid Flows (39 papers). Takeo KAJISHIMA collaborates with scholars based in Japan, United States and United Kingdom. Takeo KAJISHIMA's co-authors include Yutaka Miyake, Shintaro Takeuchi, Yutaka Tsuji, Toshitsugu Tanaka, Y. Yamamoto, Takayuki Saito, Kunihiko Taira, Takashi Ohta, Katsumi Tsuchiya and Ryuichi Nagaosa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Journal of Fluid Mechanics.

In The Last Decade

Takeo KAJISHIMA

146 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Takeo KAJISHIMA 1.5k 791 282 269 237 157 1.9k
S. L. Soo 1.3k 0.8× 892 1.1× 373 1.3× 298 1.1× 253 1.1× 109 2.0k
Santiago Laı́n 1.0k 0.7× 800 1.0× 219 0.8× 322 1.2× 414 1.7× 106 1.7k
Wim-Paul Breugem 1.9k 1.3× 1.0k 1.3× 262 0.9× 353 1.3× 161 0.7× 70 2.5k
W. H. Gauvin 1.1k 0.7× 686 0.9× 372 1.3× 281 1.0× 315 1.3× 91 1.9k
Sourabh V. Apte 1.9k 1.2× 876 1.1× 139 0.5× 205 0.8× 547 2.3× 97 2.5k
C. Gutfinger 1.1k 0.7× 705 0.9× 409 1.5× 314 1.2× 233 1.0× 94 2.6k
Jie Cui 1.1k 0.7× 564 0.7× 446 1.6× 334 1.2× 350 1.5× 125 2.7k
Satoru Komori 2.2k 1.4× 759 1.0× 290 1.0× 533 2.0× 344 1.5× 149 3.3k
Chunxiao Xu 1.7k 1.1× 452 0.6× 399 1.4× 154 0.6× 488 2.1× 209 2.3k
D. Lakehal 1.9k 1.2× 658 0.8× 630 2.2× 667 2.5× 633 2.7× 110 2.8k

Countries citing papers authored by Takeo KAJISHIMA

Since Specialization
Citations

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

Fields of papers citing papers by Takeo KAJISHIMA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeo KAJISHIMA

This figure shows the co-authorship network connecting the top 25 collaborators of Takeo KAJISHIMA. A scholar is included among the top collaborators of Takeo KAJISHIMA 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 Takeo KAJISHIMA. Takeo KAJISHIMA 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