Deep Ray
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
- Advanced Numerical Methods in Computational Mathematics
- Fluid Dynamics and Vibration Analysis
Papers in
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- Model Reduction and Neural Networks 15
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- Fluid Dynamics and Turbulent Flows 9
- Computational Fluid Dynamics and Aerodynamics 7
- Advanced Numerical Methods in Computational Mathematics 3
- Co-authors
- Jan S. Hesthaven (7 shared papers)Qian Wang (1 shared paper)Siddhartha Kumar Mishra (3 shared papers)Kjetil Olsen Lye (2 shared papers)Assad A. Oberai (12 shared papers)Praveen Chandrashekar (3 shared papers)Dhruv V Patel (6 shared papers)Christian Rohde (1 shared paper)
- Journals
- Journal of Computational Physics (8 papers)Computer Methods in Applied Mechanics and Engineering (5 papers)Communications in Computational Physics (2 papers)Engineering With Computers (1 paper)Applied Mathematics and Computation (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Deep Ray
26 papers receiving 874 citations
Peers
Comparison fields: 5 of 85
- Statistical and Nonlinear Physics 531
- Computational Mechanics 428
- Statistics, Probability and Uncertainty 138
- Numerical Analysis 55
- Computational Mathematics 4
Countries citing papers authored by Deep Ray
This map shows the geographic impact of Deep Ray'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 Deep Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep Ray more than expected).
Fields of papers citing papers by Deep Ray
This network shows the impact of papers produced by Deep Ray. 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 Deep Ray. The network helps show where Deep Ray may publish in the future.
Co-authors
The 23 scholars most cited alongside Deep Ray, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 218 | |
| 2 | 2020 | 117 | |
| 3 | 2018 | 112 | |
| 4 | 2020 | 58 | |
| 5 | 2019 | 55 | |
| 6 | 2020 | 55 | |
| 7 | 2020 | 47 | |
| 8 | 2016 | 41 | |
| 9 | 2022 | 37 | |
| 10 | 2024 | 27 | |
| 11 | 2021 | 23 | |
| 12 | 2023 | 17 | |
| 13 | 2023 | 17 | |
| 14 | 2021 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2024 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2018 | 4 |
About Deep Ray
Deep Ray is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Statistics, Probability and Uncertainty, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 27 papers that have together received 905 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (15 papers), Fluid Dynamics and Turbulent Flows (9 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Probabilistic and Robust Engineering Design (6 papers), Gaussian Processes and Bayesian Inference (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (531 citations), Computational Mechanics (428 citations), Statistics, Probability and Uncertainty (138 citations), Numerical Analysis (55 citations) and Computational Mathematics (4 citations). Deep Ray has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Jan S. Hesthaven, Qian Wang, Siddhartha Kumar Mishra, Kjetil Olsen Lye, Assad A. Oberai, Praveen Chandrashekar, Dhruv V Patel, Christian Rohde, Ulrik Skre Fjordholm and Thomas J.R. Hughes. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering, Communications in Computational Physics, Engineering With Computers and Applied Mathematics and Computation.
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.