Umar Iqbal
Impact in
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
Papers in
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- Human Pose and Action Recognition 17
- Advanced Vision and Imaging 7
- Video Surveillance and Tracking Methods 6
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- Human Motion and Animation 9
- Robot Manipulation and Learning 2
- Co-authors
- Jüergen Gall (6 shared papers)Jan Kautz (11 shared papers)Pavlo Molchanov (6 shared papers)Anton Milan (1 shared paper)Thomas M. Breuel (1 shared paper)Andreas Weber⋆ (3 shared papers)Björn Krüger (3 shared papers)Arash Vahdat (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)Lecture notes in computer science (3 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)ArXiv.org (1 paper)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Umar Iqbal
23 papers receiving 1.2k citations
Umar Iqbal's Hit Papers
Peers
Comparison fields: 5 of 78
- Human-Computer Interaction 391
- Computer Vision and Pattern Recognition 1.0k
- Control and Systems Engineering 431
- Computer Graphics and Computer-Aided Design 30
- Computational Mechanics 162
Countries citing papers authored by Umar Iqbal
This map shows the geographic impact of Umar Iqbal'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 Umar Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umar Iqbal more than expected).
Fields of papers citing papers by Umar Iqbal
This network shows the impact of papers produced by Umar Iqbal. 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 Umar Iqbal. The network helps show where Umar Iqbal may publish in the future.
Co-authors
The 25 scholars most cited alongside Umar Iqbal, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 216 | |
| 2 | DexYCB: A Benchmark for Capturing Hand Grasping of Objects Hit paper breakdown → | 2021 | 174 |
| 3 | 2017 | 159 | |
| 4 | PhysDiff: Physics-Guided Human Motion Diffusion Model Hit paper breakdown → | 2023 | 131 |
| 5 | 2016 | 128 | |
| 6 | 2016 | 97 | |
| 7 | 2022 | 87 | |
| 8 | 2021 | 58 | |
| 9 | 2018 | 27 | |
| 10 | 2022 | 24 | |
| 11 | 2024 | 23 | |
| 12 | 2024 | 22 | |
| 13 | 2024 | 19 | |
| 14 | 2021 | 16 | |
| 15 | 2024 | 13 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 7 | |
| 19 | 2025 | 4 | |
| 20 | 2024 | 4 |
About Umar Iqbal
Umar Iqbal is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, Artificial Intelligence and Human-Computer Interaction, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (17 papers), Human Motion and Animation (9 papers), Advanced Vision and Imaging (7 papers), Video Surveillance and Tracking Methods (6 papers), 3D Shape Modeling and Analysis (6 papers), Hand Gesture Recognition Systems (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Human-Computer Interaction (391 citations), Computer Vision and Pattern Recognition (1.0k citations), Control and Systems Engineering (431 citations), Computer Graphics and Computer-Aided Design (30 citations) and Computational Mechanics (162 citations). Umar Iqbal has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jüergen Gall, Jan Kautz, Pavlo Molchanov, Anton Milan, Thomas M. Breuel, Andreas Weber⋆, Björn Krüger, Arash Vahdat, Jiaming Song and Ye Yuan. Their work appears in journals such as Computer Vision and Image Understanding, Lecture notes in computer science, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), ArXiv.org and Proceedings of the AAAI/ACM Conference on AI Ethics and 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.