Arvind T. Mohan
Impact in
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- Model Reduction and Neural Networks
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- Nuclear physics research studies
Papers in
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- Model Reduction and Neural Networks 16
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- Nuclear physics research studies 6
- Co-authors
- Daniel Livescu (9 shared papers)Amy Elizabeth Lovell (5 shared papers)Datta V. Gaitonde (7 shared papers)Matthew Ryan Mumpower (3 shared papers)T. M. Sprouse (3 shared papers)Miguel R. Visbal (3 shared papers)Nicholas Lubbers (3 shared papers)Romit Maulik (2 shared papers)
- Journals
- Physical Review C (3 papers)International Journal for Numerical Methods in Biomedical Engineering (1 paper)Computers in Biology and Medicine (1 paper)Journal of Physics G Nuclear and Particle Physics (1 paper)Journal of Aircraft (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Arvind T. Mohan
29 papers receiving 525 citations
Peers
Comparison fields: 5 of 45
- Statistical and Nonlinear Physics 241
- Nuclear and High Energy Physics 139
- Computational Mechanics 72
- Aerospace Engineering 58
- Computer Graphics and Computer-Aided Design 9
Countries citing papers authored by Arvind T. Mohan
This map shows the geographic impact of Arvind T. 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 T. 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 T. Mohan more than expected).
Fields of papers citing papers by Arvind T. Mohan
This network shows the impact of papers produced by Arvind T. 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 T. Mohan. The network helps show where Arvind T. Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind T. 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2023 | 56 | |
| 3 | 2022 | 52 | |
| 4 | 2022 | 48 | |
| 5 | 2016 | 46 | |
| 6 | 2020 | 42 | |
| 7 | 2020 | 31 | |
| 8 | 2017 | 28 | |
| 9 | 2023 | 28 | |
| 10 | 2020 | 22 | |
| 11 | 2015 | 16 | |
| 12 | Embedding Hard Physical Constraints in Convolutional Neural Networks for 3D Turbulence | 2020 | 12 |
| 13 | 2023 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2015 | 4 | |
| 18 | Wavelet-Powered Neural Networks for Turbulence | 2020 | 4 |
| 19 | 2014 | 3 | |
| 20 | 2018 | 3 |
About Arvind T. Mohan
Arvind T. Mohan is a scholar working on Statistical and Nonlinear Physics, Nuclear and High Energy Physics, Aerospace Engineering, Computer Graphics and Computer-Aided Design and Computational Mechanics, having authored 29 papers that have together received 539 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (16 papers), Nuclear physics research studies (6 papers), Plasma and Flow Control in Aerodynamics (2 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), Aerospace and Aviation Technology (1 paper), Aeroelasticity and Vibration Control (1 paper) and Elasticity and Material Modeling (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (241 citations), Nuclear and High Energy Physics (139 citations), Computational Mechanics (72 citations), Aerospace Engineering (58 citations) and Computer Graphics and Computer-Aided Design (9 citations). Arvind T. Mohan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Daniel Livescu, Amy Elizabeth Lovell, Datta V. Gaitonde, Matthew Ryan Mumpower, T. M. Sprouse, Miguel R. Visbal, Nicholas Lubbers, Romit Maulik, Sandeep Madireddy and Bethany Lusch. Their work appears in journals such as Physical Review C, International Journal for Numerical Methods in Biomedical Engineering, Computers in Biology and Medicine, Journal of Physics G Nuclear and Particle Physics and Journal of Aircraft.
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.