Rishabh Dabral
Impact in
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- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Video Analysis and Summarization
- Image Processing and 3D Reconstruction
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- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 9
- Video Surveillance and Tracking Methods 3
- Multimodal Machine Learning Applications 3
- Advanced Vision and Imaging 3
- Video Analysis and Summarization 2
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- Human Motion and Animation 6
- Robot Manipulation and Learning 2
- Co-authors
- Christian Theobalt (10 shared papers)Vladislav Golyanik (6 shared papers)Anindita Ghosh (1 shared paper)Philipp Slusallek (1 shared paper)Marc Habermann (4 shared papers)Uday Kusupati (1 shared paper)Arjun Jain (2 shared papers)Bernhard Egger (1 shared paper)
- Journals
- Computer Graphics Forum (2 papers)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)arXiv (Cornell University) (1 paper)VU Research Portal (1 paper)
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
Rishabh Dabral
11 papers receiving 148 citations
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 116
- Human-Computer Interaction 24
- Control and Systems Engineering 92
- Computer Graphics and Computer-Aided Design 8
- Computational Mechanics 32
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 71 | |
| 2 | 2023 | 33 | |
| 3 | 2023 | 23 | |
| 4 | Structure-Aware and Temporally Coherent 3D Human Pose Estimation | 2017 | 8 |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Rishabh Dabral
Rishabh Dabral is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Human-Computer Interaction and Social Psychology, having authored 14 papers that have together received 151 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (9 papers), Human Motion and Animation (6 papers), Video Surveillance and Tracking Methods (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Vision and Imaging (3 papers), Robot Manipulation and Learning (2 papers), Speech and dialogue systems (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Human-Computer Interaction (24 citations), Control and Systems Engineering (92 citations), Computer Graphics and Computer-Aided Design (8 citations) and Computational Mechanics (32 citations). Rishabh Dabral has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Christian Theobalt, Vladislav Golyanik, Anindita Ghosh, Philipp Slusallek, Marc Habermann, Uday Kusupati, Arjun Jain, Bernhard Egger, Adam Kortylewski and Pascal Fua. Their work appears in journals such as Computer Graphics Forum, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), arXiv (Cornell University) and VU Research Portal.
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.