Jun Kojima

36 papers receiving 940 citations

Peers

Jun Kojima
Comparison fields: 5 of 65
  • Fluid Flow and Transfer Processes 517
  • Computational Mechanics 723
  • Spectroscopy 192
  • Safety, Risk, Reliability and Quality 87
  • Atmospheric Science 147
Replace D.A. Greenhalgh with:
D.A. Greenhalgh United Kingdom
F. Grisch France
Rainer Lückerath Germany
W. Stricker Germany
Mikaël Orain France
Jiankun Shao United States
Brandon Yip United States
Fabrice Lemoine France
Quang‐Viet Nguyen United States
Brian T. Fisher United States
Jun Kojima relative to D.A. Greenhalgh United Kingdom D.A. Greenhalgh's profile →
Citations per field
00.5×1.5×2.3×
D.A. Greenhalgh · 1×
Citations per year

Countries citing papers authored by Jun Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Kojima, 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 Jun Kojima Line = papers co-authored together Jun Kojima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000212
2 2004194
3 200276
4 200074
5 200251
6 199441
7 200437
8 201835
9 201930
10 200729
11 200426
12 200426
13 200321
14 202018
15 201017
16 201314
17 198713
18 200912
19 200010
20 20086

About Jun Kojima

Jun Kojima is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Spectroscopy, Global and Planetary Change and Aerospace Engineering, having authored 37 papers that have together received 986 indexed citations. Recurring topics across this work include Combustion and flame dynamics (24 papers), Advanced Combustion Engine Technologies (14 papers), Spectroscopy and Laser Applications (12 papers), Atmospheric and Environmental Gas Dynamics (6 papers), Rocket and propulsion systems research (4 papers), Radiative Heat Transfer Studies (3 papers), Atmospheric chemistry and aerosols (3 papers) and Subcritical and Supercritical Water Processes (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (517 citations), Computational Mechanics (723 citations), Spectroscopy (192 citations), Safety, Risk, Reliability and Quality (87 citations) and Atmospheric Science (147 citations). Jun Kojima has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Yuji Ikeda, Tsuyoshi Nakajima, Quang‐Viet Nguyen, Hideki Hashimoto, Uday Hegde, M. Hicks, Masashi KATSUKI, Fumiteru AKAMATSU, David G. Fischer and Min Kim. Their work appears in journals such as Proceedings of the Combustion Institute, Measurement Science and Technology, Combustion and Flame, The Journal of Supercritical Fluids and Journal of Quantitative Spectroscopy and Radiative Transfer.

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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