R. Ravindran
- Biomedical Engineering top 10%
- Computational Mechanics top 5%
- Mechanical Engineering top 10%
- Statistical and Nonlinear Physics top 5%
- Numerical Analysis top 10%
- Co-authors
- S. RoyE. MomoniatIoan PopPuja PrasadMaría E. SchonbekR. UshaN. KalyanasundaramUma Balakrishnan
- Topics
- Nanofluid Flow and Heat Transfer (19 papers)Fluid Dynamics and Turbulent Flows (19 papers)Computational Fluid Dynamics and Aerodynamics (11 papers)
- Journals
- Journal of Fluid MechanicsThe Journal of the Acoustical Society of AmericaInternational Journal of Heat and Mass Transfer
- Partner nations
- IndiaSouth AfricaGermany
In The Last Decade
R. Ravindran
50 papers receiving 499 citations
Peers
Comparison fields: 5 of 51
- Biomedical Engineering 301
- Computational Mechanics 300
- Mechanical Engineering 235
- Statistical and Nonlinear Physics 98
- Numerical Analysis 38
Countries citing papers authored by R. Ravindran
This map shows the geographic impact of R. Ravindran'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 R. Ravindran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Ravindran more than expected).
Fields of papers citing papers by R. Ravindran
This network shows the impact of papers produced by R. Ravindran. 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 R. Ravindran. The network helps show where R. Ravindran may publish in the future.
Co-authorship network of co-authors of R. Ravindran
This figure shows the co-authorship network connecting the top 25 collaborators of R. Ravindran. A scholar is included among the top collaborators of R. Ravindran 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 R. Ravindran. R. Ravindran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | Forced vibrations of a non-viscous drop | 0 |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 18 | |
| 15 | Canonical form of a quasilinear hyperbolic system of First order equations | 5 |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 29 | |
| 19 | 9 | |
| 20 | 3 |
About R. Ravindran
R. Ravindran is a scholar working on Theoretical Computer Science, Computational Mechanics and Numerical Analysis, having authored 56 papers that have together received 523 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (19 papers), Fluid Dynamics and Turbulent Flows (19 papers) and Computational Fluid Dynamics and Aerodynamics (11 papers). The work is most often cited by research in Computational Mechanics (300 citations), Statistical and Nonlinear Physics (98 citations) and Numerical Analysis (38 citations). R. Ravindran has collaborated with scholars based in India, South Africa and Germany. Frequent co-authors include S. Roy, E. Momoniat, Ioan Pop, Puja Prasad, María E. Schonbek, R. Usha, N. Kalyanasundaram, Uma Balakrishnan, P. L. Bhatnagar and Jürgen Batt. Their work appears in journals such as Journal of Fluid Mechanics, The Journal of the Acoustical Society of America and International Journal of Heat and Mass 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.