Rohan Chandra
Impact in
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- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
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- Emotion and Mood Recognition
Papers in
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- Robotic Path Planning Algorithms 6
- Advanced Neural Network Applications 3
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- Reinforcement Learning in Robotics 5
- Co-authors
- Dinesh Manocha (10 shared papers)Aniket Bera (4 shared papers)Trisha Mittal (3 shared papers)Uttaran Bhattacharya (3 shared papers)Tianrui Guan (2 shared papers)Adarsh Jagan Sathyamoorthy (1 shared paper)Jun Wang (1 shared paper)Larry S. Davis (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (4 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)Autonomous Robots (1 paper)College Mathematics Journal (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Rohan Chandra
20 papers receiving 676 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 404
- Experimental and Cognitive Psychology 122
- Signal Processing 74
- Artificial Intelligence 218
- Automotive Engineering 74
Countries citing papers authored by Rohan Chandra
This map shows the geographic impact of Rohan Chandra'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 Rohan Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohan Chandra more than expected).
Fields of papers citing papers by Rohan Chandra
This network shows the impact of papers produced by Rohan Chandra. 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 Rohan Chandra. The network helps show where Rohan Chandra may publish in the future.
Co-authors
The 25 scholars most cited alongside Rohan Chandra, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 184 | |
| 2 | 2020 | 160 | |
| 3 | 2022 | 101 | |
| 4 | 2022 | 93 | |
| 5 | 2022 | 34 | |
| 6 | 2024 | 31 | |
| 7 | 2022 | 17 | |
| 8 | 2025 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 8 | |
| 12 | Emotions Don't Lie: A Deepfake Detection Method using Audio-Visual Affective Cues | 2020 | 8 |
| 13 | 2023 | 7 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2016 | 1 |
About Rohan Chandra
Rohan Chandra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Control and Systems Engineering and Computer Networks and Communications, having authored 21 papers that have together received 699 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Reinforcement Learning in Robotics (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Distributed Control Multi-Agent Systems (3 papers), Emotion and Mood Recognition (3 papers), Advanced Neural Network Applications (3 papers), Transportation and Mobility Innovations (2 papers) and Evacuation and Crowd Dynamics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (404 citations), Experimental and Cognitive Psychology (122 citations), Signal Processing (74 citations), Artificial Intelligence (218 citations) and Automotive Engineering (74 citations). Rohan Chandra has collaborated with scholars based in United States, India and China. Frequent co-authors include Dinesh Manocha, Aniket Bera, Trisha Mittal, Uttaran Bhattacharya, Tianrui Guan, Adarsh Jagan Sathyamoorthy, Jun Wang, Larry S. Davis, Shiyi Lan and Zuxuan Wu. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Transportation Systems, Autonomous Robots, College Mathematics Journal and 2022 International Conference on Robotics and Automation (ICRA).
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.