Keisuke Ishii

523 citations
15 papers · 442 indexed · h-index 7

Keisuke Ishii

11 papers receiving 418 citations

Peers

Keisuke Ishii
Comparison fields: 5 of 39
  • Fluid Flow and Transfer Processes 398
  • Computational Mechanics 361
  • Aerospace Engineering 141
  • Automotive Engineering 119
  • Biomedical Engineering 68
Replace Manuel Echeverri Marquez with:
Manuel Echeverri Marquez Saudi Arabia
Y. Urata United Kingdom
Walter Vera-Tudela Switzerland
Bruno Moreau France
Andrew B. Mansfield United States
Eiichi Murase Japan
Stephen M. Walton United States
Rajavasanth Rajasegar United States
Ashish Shah United States
Bruno Schneider Switzerland
Keisuke Ishii relative to Manuel Echeverri Marquez Saudi Arabia Manuel Echeverri Marquez's profile →
Citations per field
00.5×1.5×1.8×
Manuel Echeverri Marquez · 1×
Citations per year

Countries citing papers authored by Keisuke Ishii

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Ishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Ishii

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Ishii. A scholar is included among the top collaborators of Keisuke Ishii 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 Keisuke Ishii. Keisuke Ishii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 1
3
Human Machine Interface with Driver in Highly Automated Driving (Fourth Report)
1
4 0
5 0
6
Development of an Axle Box Heating Detection System and Improvement of its Reliability
0
7 6
8 20
9
ROLLOVER RESISTANCE TEST PROCEDURE INVOLVING MAXIMUM ROLL MOMENTUM
2
10 148
11 118
12 86
13 1
14 13
15 46

About Keisuke Ishii

Keisuke Ishii is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics, having authored 15 papers that have together received 442 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (7 papers), Combustion and flame dynamics (5 papers) and Vehicle emissions and performance (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (398 citations), Computational Mechanics (361 citations) and Automotive Engineering (119 citations). Keisuke Ishii has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include A. M. K. P. Taylor, Y. Urata, P.G. Aleiferis, Yannis Hardalupas, J. H. Whitelaw, T. Ono, T. Kawamura, Y. Yamamura, Marc O. Ernst and Shunsuke Saito. Their work appears in journals such as Combustion and Flame, Journal of Nuclear Materials and SAE technical papers on CD-ROM/SAE technical paper series.

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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