Arvind Mohan
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
Papers in
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- Fluid Dynamics and Turbulent Flows 14
- Fluid Dynamics and Vibration Analysis 8
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- Model Reduction and Neural Networks 14
- Co-authors
- Datta V. Gaitonde (7 shared papers)Daniel Livescu (9 shared papers)A. E. Lovell (5 shared papers)Miguel R. Visbal (3 shared papers)Matthew R. Mumpower (3 shared papers)Nicholas Lubbers (3 shared papers)Prasanna Balaprakash (1 shared paper)Romit Maulik (1 shared paper)
- Journals
- Physical review. C (2 papers)Journal of Computational Physics (1 paper)Nature Communications (1 paper)Clinical Neurology and Neurosurgery (1 paper)Journal of Turbulence (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Arvind Mohan
33 papers receiving 476 citations
Peers
Comparison fields: 5 of 70
- Statistical and Nonlinear Physics 181
- Computational Mechanics 199
- Nuclear and High Energy Physics 98
- Radiation 59
- Aerospace Engineering 138
Countries citing papers authored by Arvind Mohan
This map shows the geographic impact of Arvind Mohan'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 Arvind Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Mohan more than expected).
Fields of papers citing papers by Arvind Mohan
This network shows the impact of papers produced by Arvind Mohan. 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 Arvind Mohan. The network helps show where Arvind Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Mohan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2016 | 43 | |
| 3 | 2022 | 40 | |
| 4 | 2020 | 40 | |
| 5 | 2023 | 38 | |
| 6 | 2022 | 38 | |
| 7 | 2020 | 28 | |
| 8 | 2017 | 28 | |
| 9 | 2023 | 25 | |
| 10 | 2015 | 16 | |
| 11 | 2020 | 14 | |
| 12 | Embedding Hard Physical Constraints in Convolutional Neural Networks for 3D Turbulence | 2020 | 11 |
| 13 | Virtual reality--a 'play station' of the future. A review of virtual reality and orthopaedics. | 2006 | 11 |
| 14 | 2018 | 10 | |
| 15 | 2023 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 4 |
About Arvind Mohan
Arvind Mohan is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Aerospace Engineering, Nuclear and High Energy Physics and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 487 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (14 papers), Model Reduction and Neural Networks (14 papers), Fluid Dynamics and Vibration Analysis (8 papers), Aerodynamics and Acoustics in Jet Flows (5 papers), Nuclear physics research studies (5 papers), Nuclear Physics and Applications (4 papers), Meteorological Phenomena and Simulations (3 papers) and Nuclear reactor physics and engineering (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (181 citations), Computational Mechanics (199 citations), Nuclear and High Energy Physics (98 citations), Radiation (59 citations) and Aerospace Engineering (138 citations). Arvind Mohan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Datta V. Gaitonde, Daniel Livescu, A. E. Lovell, Miguel R. Visbal, Matthew R. Mumpower, Nicholas Lubbers, Prasanna Balaprakash, Romit Maulik, Bethany Lusch and Sandeep Madireddy. Their work appears in journals such as Physical review. C, Journal of Computational Physics, Nature Communications, Clinical Neurology and Neurosurgery and Journal of Turbulence.
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.