Jai Kumar
Impact in
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Heat and Mass Transfer in Porous Media
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics and Thin Films
- Modeling and Simulation top 10%
Papers in
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- Fluid Dynamics and Turbulent Flows 10
- Fluid Dynamics and Thin Films 10
- Heat and Mass Transfer in Porous Media 8
- Lattice Boltzmann Simulation Studies 8
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- Nanofluid Flow and Heat Transfer 20
- Co-authors
- B. M. Shankar (17 shared papers)Inapura Siddagangaiah Shivakumara (15 shared papers)Vineet K. Srivastava (10 shared papers)Premananda Bera (4 shared papers)Badam Singh Kushvah (8 shared papers)Arzhang Khalili (2 shared papers)Mohammad Tamsir (2 shared papers)Hari Shankar Shukla (2 shared papers)
In The Last Decade
Jai Kumar
41 papers receiving 537 citations
Peers
Comparison fields: 5 of 61
- Computational Mechanics 342
- Modeling and Simulation 40
- Fluid Flow and Transfer Processes 47
- Biomedical Engineering 308
- Numerical Analysis 39
Countries citing papers authored by Jai Kumar
This map shows the geographic impact of Jai 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 Jai Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jai Kumar more than expected).
Fields of papers citing papers by Jai Kumar
This network shows the impact of papers produced by Jai 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 Jai Kumar. The network helps show where Jai Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Jai 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 62 | |
| 2 | 2014 | 43 | |
| 3 | 2014 | 33 | |
| 4 | 2010 | 30 | |
| 5 | 2021 | 29 | |
| 6 | 2011 | 25 | |
| 7 | 2014 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2016 | 21 | |
| 10 | 2016 | 21 | |
| 11 | 2014 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2016 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2015 | 14 | |
| 17 | 2011 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2017 | 11 | |
| 20 | 2015 | 11 |
About Jai Kumar
Jai Kumar is a scholar working on Computational Mechanics, Biomedical Engineering, Astronomy and Astrophysics, Oceanography and Aerospace Engineering, having authored 45 papers that have together received 555 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (20 papers), Fluid Dynamics and Turbulent Flows (10 papers), Fluid Dynamics and Thin Films (10 papers), Heat and Mass Transfer in Porous Media (8 papers), Lattice Boltzmann Simulation Studies (8 papers), Spacecraft Dynamics and Control (6 papers), Astro and Planetary Science (5 papers) and Power Transformer Diagnostics and Insulation (3 papers). The work is most often cited by research in Computational Mechanics (342 citations), Modeling and Simulation (40 citations), Fluid Flow and Transfer Processes (47 citations), Biomedical Engineering (308 citations) and Numerical Analysis (39 citations). Jai Kumar has collaborated with scholars based in India, Indonesia and China. Frequent co-authors include B. M. Shankar, Inapura Siddagangaiah Shivakumara, Vineet K. Srivastava, Premananda Bera, Badam Singh Kushvah, Arzhang Khalili, Mohammad Tamsir, Hari Shankar Shukla, Inapura Siddagangaiah Shivakumara and Ashok Kumar. Their work appears in journals such as Acta Astronautica, Physics of Fluids, Applied Mathematics and Computation, International Journal of Heat and Mass Transfer and Acta Mechanica.
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.