Yoshimitsu Kobashi

133 total papers · 452 total citations
60 papers, 326 citations indexed

About

Yoshimitsu Kobashi is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Yoshimitsu Kobashi has authored 60 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Fluid Flow and Transfer Processes, 36 papers in Computational Mechanics and 19 papers in Biomedical Engineering. Recurrent topics in Yoshimitsu Kobashi's work include Advanced Combustion Engine Technologies (47 papers), Combustion and flame dynamics (31 papers) and Biodiesel Production and Applications (18 papers). Yoshimitsu Kobashi is often cited by papers focused on Advanced Combustion Engine Technologies (47 papers), Combustion and flame dynamics (31 papers) and Biodiesel Production and Applications (18 papers). Yoshimitsu Kobashi collaborates with scholars based in Japan, Mozambique and United States. Yoshimitsu Kobashi's co-authors include Gen Shibata, Hideyuki Ogawa, Satoshi Kato, Ken‐ichi Shimizu, Tatsuya Kuboyama, Yoshio Zama, Jiro Senda, Jin Kusaka, Masaru Ogura and Yuta Nakasaka and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Heat and Mass Transfer and Fuel.

In The Last Decade

Yoshimitsu Kobashi

51 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Yoshimitsu Kobashi 201 158 111 91 83 60 326
Stefan Sterlepper 193 1.0× 64 0.4× 130 1.2× 213 2.3× 68 0.8× 27 356
Wenlong Dong 213 1.1× 165 1.0× 145 1.3× 48 0.5× 38 0.5× 28 347
E. M. Goodger 119 0.6× 91 0.6× 48 0.4× 31 0.3× 93 1.1× 35 299
George Vourliotakis 178 0.9× 179 1.1× 133 1.2× 26 0.3× 82 1.0× 26 355
Ge Xiao 204 1.0× 109 0.7× 123 1.1× 89 1.0× 80 1.0× 30 286
Dimitris Assanis 295 1.5× 215 1.4× 83 0.7× 92 1.0× 75 0.9× 47 361
Chuanfu Kou 167 0.8× 94 0.6× 111 1.0× 103 1.1× 60 0.7× 21 285
Mingdi Li 161 0.8× 52 0.3× 108 1.0× 77 0.8× 201 2.4× 31 348
Vickey Kalaskar 309 1.5× 193 1.2× 65 0.6× 94 1.0× 129 1.6× 24 333
Jung Goo Hong 92 0.5× 149 0.9× 62 0.6× 13 0.1× 73 0.9× 51 323

Countries citing papers authored by Yoshimitsu Kobashi

Since Specialization
Citations

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

Fields of papers citing papers by Yoshimitsu Kobashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshimitsu Kobashi

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