Rishabh Dabral
Impact in
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- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 16
- Advanced Vision and Imaging 6
- Video Surveillance and Tracking Methods 6
- Multimodal Machine Learning Applications 3
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- Human Motion and Animation 8
- Robot Manipulation and Learning 3
- Co-authors
- Christian Theobalt (17 shared papers)Vladislav Golyanik (8 shared papers)Arjun Jain (5 shared papers)Abhishek Sharma (2 shared papers)Uday Kusupati (1 shared paper)Philipp Slusallek (2 shared papers)Anindita Ghosh (1 shared paper)Marc Habermann (8 shared papers)
- Journals
- Computer Graphics Forum (2 papers)Lecture notes in computer science (3 papers)arXiv (Cornell University) (3 papers)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)MPG.PuRe (Max Planck Society) (2 papers)
- Partner nations
- GermanyIndiaSwitzerland
In The Last Decade
Rishabh Dabral
18 papers receiving 418 citations
Rishabh Dabral's Hit Papers
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 352
- Human-Computer Interaction 80
- Control and Systems Engineering 192
- Computer Graphics and Computer-Aided Design 12
- Computational Mechanics 57
Countries citing papers authored by Rishabh Dabral
This map shows the geographic impact of Rishabh Dabral'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 Rishabh Dabral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishabh Dabral more than expected).
Fields of papers citing papers by Rishabh Dabral
This network shows the impact of papers produced by Rishabh Dabral. 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 Rishabh Dabral. The network helps show where Rishabh Dabral may publish in the future.
Co-authors
The 25 scholars most cited alongside Rishabh Dabral, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 172 | |
| 2 | MoFusion: A Framework for Denoising-Diffusion-Based Motion Synthesis Hit paper breakdown → | 2023 | 110 |
| 3 | 2023 | 51 | |
| 4 | 2023 | 28 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2021 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Rishabh Dabral
Rishabh Dabral is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction, Endocrinology, Diabetes and Metabolism and Social Psychology, having authored 23 papers that have together received 424 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (16 papers), Human Motion and Animation (8 papers), Advanced Vision and Imaging (6 papers), Video Surveillance and Tracking Methods (6 papers), Hand Gesture Recognition Systems (3 papers), Multimodal Machine Learning Applications (3 papers), Robot Manipulation and Learning (3 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (352 citations), Human-Computer Interaction (80 citations), Control and Systems Engineering (192 citations), Computer Graphics and Computer-Aided Design (12 citations) and Computational Mechanics (57 citations). Rishabh Dabral has collaborated with scholars based in Germany, India and Switzerland. Frequent co-authors include Christian Theobalt, Vladislav Golyanik, Arjun Jain, Abhishek Sharma, Uday Kusupati, Philipp Slusallek, Anindita Ghosh, Marc Habermann, Adam Kortylewski and Pascal Fua. Their work appears in journals such as Computer Graphics Forum, Lecture notes in computer science, arXiv (Cornell University), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and MPG.PuRe (Max Planck Society).
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.