Daisuke Kawano

61 total papers · 592 total citations
32 papers, 509 citations indexed

About

Daisuke Kawano is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Daisuke Kawano has authored 32 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Fluid Flow and Transfer Processes, 18 papers in Automotive Engineering and 14 papers in Computational Mechanics. Recurrent topics in Daisuke Kawano's work include Advanced Combustion Engine Technologies (21 papers), Vehicle emissions and performance (14 papers) and Biodiesel Production and Applications (11 papers). Daisuke Kawano is often cited by papers focused on Advanced Combustion Engine Technologies (21 papers), Vehicle emissions and performance (14 papers) and Biodiesel Production and Applications (11 papers). Daisuke Kawano collaborates with scholars based in Japan. Daisuke Kawano's co-authors include Yuichi Goto, Jiro Senda, Hajime Fujimoto, Hajime Ishii, Yuzo Aoyagi, A. Noda, Matsuo Odaka, Atsushi Shimada, Hiroshi Fujimoto and Koji Sato and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE International Journal of Engines and International Journal of Engine Research.

In The Last Decade

Daisuke Kawano

32 papers receiving 476 citations

Author Peers

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

Author Last Decade Papers Cites
Daisuke Kawano 349 241 236 178 67 32 509
Bernhard Geringer 341 1.0× 164 0.7× 189 0.8× 213 1.2× 67 1.0× 36 456
Gunnar Stiesch 401 1.1× 287 1.2× 137 0.6× 174 1.0× 66 1.0× 21 531
Christopher Chadwell 413 1.2× 188 0.8× 124 0.5× 220 1.2× 115 1.7× 27 472
Henry Ng 341 1.0× 133 0.6× 173 0.7× 318 1.8× 97 1.4× 28 525
Gabriela Bracho 472 1.4× 341 1.4× 205 0.9× 141 0.8× 93 1.4× 26 617
Seyed Ali Jazayeri 364 1.0× 221 0.9× 194 0.8× 239 1.3× 104 1.6× 51 563
Joshua A. Bittle 398 1.1× 210 0.9× 321 1.4× 120 0.7× 66 1.0× 55 503
Keshav S. Varde 525 1.5× 259 1.1× 292 1.2× 273 1.5× 95 1.4× 42 578
Hermann Rottengruber 297 0.9× 176 0.7× 126 0.5× 189 1.1× 56 0.8× 46 531
Glenn R. Bower 478 1.4× 276 1.1× 271 1.1× 230 1.3× 86 1.3× 27 582

Countries citing papers authored by Daisuke Kawano

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kawano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Kawano

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