Rakesh Kumar
- Computational Mechanics top 2%
- Aerospace Engineering top 5%
- Applied Mathematics top 2%
- Ocean Engineering top 5%
- Materials Chemistry
- Co-authors
- Deborah A. LevinЕ. В. ТитовTamal BanerjeeAshok KhannaA. K. GhoshRanjan Kumar SahooSwagat S. RathVaibhav K. Arghode
- Topics
- Gas Dynamics and Kinetic Theory (54 papers)Computational Fluid Dynamics and Aerodynamics (44 papers)Particle Dynamics in Fluid Flows (28 papers)
- Journals
- The Journal of Chemical PhysicsSHILAP Revista de lepidopterologíaJournal of Fluid Mechanics
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Rakesh Kumar
133 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 93
- Computational Mechanics 514
- Aerospace Engineering 412
- Applied Mathematics 342
- Ocean Engineering 203
- Materials Chemistry 132
Countries citing papers authored by Rakesh Kumar
This map shows the geographic impact of Rakesh 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 Rakesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Kumar more than expected).
Fields of papers citing papers by Rakesh Kumar
This network shows the impact of papers produced by Rakesh 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 Rakesh Kumar. The network helps show where Rakesh Kumar may publish in the future.
Co-authorship network of co-authors of Rakesh Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Kumar. A scholar is included among the top collaborators of Rakesh Kumar 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 Rakesh Kumar. Rakesh Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 0 | |
| 19 | Modeling of CO2 condensation in the high pressure flows using the statistical BGK approach | 4 |
| 20 | Study of variations in water quality of Mumbai coast through multivariate analysis techniques | 23 |
About Rakesh Kumar
Rakesh Kumar is a scholar working on Applied Mathematics, Computational Mechanics and Aerospace Engineering, having authored 140 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (54 papers), Computational Fluid Dynamics and Aerodynamics (44 papers) and Particle Dynamics in Fluid Flows (28 papers). The work is most often cited by research in Applied Mathematics (342 citations), Computational Mechanics (514 citations) and Filtration and Separation (37 citations). Rakesh Kumar has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Deborah A. Levin, Е. В. Титов, Tamal Banerjee, Ashok Khanna, A. K. Ghosh, Ranjan Kumar Sahoo, Swagat S. Rath, Vaibhav K. Arghode, Indrani Gupta and Huck Beng Chew. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.
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.