S. S. Ravindran
- Computational Mechanics top 1%
- Statistical and Nonlinear Physics top 1%
- Statistics, Probability and Uncertainty top 1%
- Control and Systems Engineering top 5%
- Numerical Analysis top 5%
- Co-authors
- Kazufumi ItoLisheng HouKikukatsu ItoAlok MajumdarYue YanMax GunzburgerJames C. TurnerParthasarathi Ghosh
- Topics
- Advanced Numerical Methods in Computational Mathematics (27 papers)Computational Fluid Dynamics and Aerodynamics (20 papers)Model Reduction and Neural Networks (16 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringPhysics of Fluids
- Partner nations
- United StatesCanadaIndia
In The Last Decade
S. S. Ravindran
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 65
- Computational Mechanics 881
- Statistical and Nonlinear Physics 711
- Statistics, Probability and Uncertainty 217
- Control and Systems Engineering 214
- Numerical Analysis 211
Countries citing papers authored by S. S. Ravindran
This map shows the geographic impact of S. S. 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 S. S. Ravindran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. S. Ravindran more than expected).
Fields of papers citing papers by S. S. Ravindran
This network shows the impact of papers produced by S. S. 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 S. S. Ravindran. The network helps show where S. S. Ravindran may publish in the future.
Co-authorship network of co-authors of S. S. Ravindran
This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Ravindran. A scholar is included among the top collaborators of S. S. 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 S. S. Ravindran. S. S. 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 71 | |
| 16 | 4 | |
| 17 | 49 | |
| 18 | Proper Orthogonal Decomposition in Optimal Control of Fluids | 55 |
| 19 | 203 | |
| 20 | 15 |
About S. S. Ravindran
S. S. Ravindran is a scholar working on Numerical Analysis, Computational Mechanics and Statistical and Nonlinear Physics, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (27 papers), Computational Fluid Dynamics and Aerodynamics (20 papers) and Model Reduction and Neural Networks (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (711 citations), Computational Mechanics (881 citations) and Numerical Analysis (211 citations). S. S. Ravindran has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Kazufumi Ito, Lisheng Hou, Kikukatsu Ito, Alok Majumdar, Yue Yan, Max Gunzburger, James C. Turner and Parthasarathi Ghosh. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Physics of Fluids.
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.