Madan Kumar
Impact in
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- Advanced Combustion Engine Technologies
- Automotive Engineering top 5%
- Vehicle emissions and performance
Papers in
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- Advanced Combustion Engine Technologies 20
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- Vehicle emissions and performance 16
- Co-authors
- Yasumasa Suzuki (2 shared papers)Taku Tsujimura (2 shared papers)Tielong Shen (6 shared papers)Pavlos Dimitriou (1 shared paper)Yuhu Wu (1 shared paper)Yasuo Moriyoshi (9 shared papers)Tatsuya Kuboyama (9 shared papers)Marco Chiodi (2 shared papers)
In The Last Decade
Madan Kumar
18 papers receiving 376 citations
Peers
Comparison fields: 5 of 43
- Fluid Flow and Transfer Processes 301
- Automotive Engineering 176
- Energy Engineering and Power Technology 18
- Computational Mechanics 88
- Biomedical Engineering 141
Countries citing papers authored by Madan Kumar
This map shows the geographic impact of Madan Kumar'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 Madan Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madan Kumar more than expected).
Fields of papers citing papers by Madan Kumar
This network shows the impact of papers produced by Madan Kumar. 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 Madan Kumar. The network helps show where Madan Kumar may publish in the future.
Co-authors
The 13 scholars most cited alongside Madan Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 187 | |
| 2 | 2015 | 52 | |
| 3 | 2018 | 41 | |
| 4 | 2017 | 32 | |
| 5 | 2015 | 17 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 8 | |
| 8 | 2016 | 8 | |
| 9 | 2019 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Madan Kumar
Madan Kumar is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computational Mechanics, Biomedical Engineering and Materials Chemistry, having authored 20 papers that have together received 390 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (20 papers), Vehicle emissions and performance (16 papers), Combustion and flame dynamics (9 papers), Biodiesel Production and Applications (6 papers), Catalytic Processes in Materials Science (6 papers), Aerodynamics and Fluid Dynamics Research (1 paper), Heat transfer and supercritical fluids (1 paper) and Maritime Transport Emissions and Efficiency (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (301 citations), Automotive Engineering (176 citations), Energy Engineering and Power Technology (18 citations), Computational Mechanics (88 citations) and Biomedical Engineering (141 citations). Madan Kumar has collaborated with scholars based in Japan, China and Israel. Frequent co-authors include Yasumasa Suzuki, Taku Tsujimura, Tielong Shen, Pavlos Dimitriou, Yuhu Wu, Yasuo Moriyoshi, Tatsuya Kuboyama, Marco Chiodi, Michael Bargende and V. Antony Aroul Raj. Their work appears in journals such as International Journal of Engine Research, SAE technical papers on CD-ROM/SAE technical paper series, Energy, International Journal of Hydrogen Energy and Applied Thermal Engineering.
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.