Daisuke Kawano

740 citations
38 papers · 514 · h-index 12

Impact in

Papers in

Daisuke Kawano

32 papers receiving 496 citations

Peers

Daisuke Kawano
Comparison fields: 5 of 64
  • Fluid Flow and Transfer Processes 259
  • Automotive Engineering 150
  • Computational Mechanics 148
  • Critical Care and Intensive Care Medicine 37
  • Emergency Medicine 68
Replace Varun Reddy with:
Varun Reddy United States
Guillaume Dufour France
Kenneth I. Aycock United States
James Jewkes Australia
Fangjun Shu United States
Ashish Gupta India
Jagadish Sorab United States
Gutiérrez Ruiz Spain
Kiran Dellimore South Africa
Daisuke Kawano relative to Varun Reddy United States Varun Reddy's profile →
Citations per field
00.5×12.3×
Varun Reddy · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daisuke Kawano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Kawano Line = papers co-authored together Daisuke Kawano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014115
2 200860
3 200651
4 200639
5 200530
6 201425
7 200725
8 200425
9 201020
10 200319
11 202112
12 202112
13 20108
14 20227
15 20237
16 20227
17 20227
18 20107
19 20206
20 20225

About Daisuke Kawano

Daisuke Kawano is a scholar working on Cardiology and Cardiovascular Medicine, Fluid Flow and Transfer Processes, Computational Mechanics, Automotive Engineering and Biomedical Engineering, having authored 38 papers that have together received 514 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (19 papers), Atrial Fibrillation Management and Outcomes (17 papers), Advanced Combustion Engine Technologies (12 papers), Cardiac pacing and defibrillation studies (10 papers), Cardiac electrophysiology and arrhythmias (9 papers), Combustion and flame dynamics (8 papers), Vehicle emissions and performance (6 papers) and Biodiesel Production and Applications (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (259 citations), Automotive Engineering (150 citations), Computational Mechanics (148 citations), Critical Care and Intensive Care Medicine (37 citations) and Emergency Medicine (68 citations). Daisuke Kawano has collaborated with scholars based in Japan and Thailand. Frequent co-authors include Hisakazu Suzuki, Yuichi Goto, Hajime Ishii, Matsuo Odaka, Yasuhiro Daisho, Takeo Azuhata, Kosaku Kinoshita, Jin Kusaka, Atsushi Sakurai and Yasutaka Chiba. Their work appears in journals such as Journal of Cardiovascular Electrophysiology, SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Engine Research, Journal of Interventional Cardiac Electrophysiology and Pacing and Clinical Electrophysiology.

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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