Umar Iqbal
Impact in
- Human-Computer Interaction top 2%
- 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 14
- Advanced Vision and Imaging 6
- Video Surveillance and Tracking Methods 5
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- Human Motion and Animation 9
- Co-authors
- Jüergen Gall (4 shared papers)Jan Kautz (9 shared papers)Anton Milan (1 shared paper)Pavlo Molchanov (4 shared papers)Björn Krüger (3 shared papers)Andreas Weber⋆ (3 shared papers)Ye Yuan (2 shared papers)Jiaming Song (1 shared paper)
- Journals
- Computer Vision and Image Understanding (1 paper)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2 papers)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Umar Iqbal
20 papers receiving 768 citations
Umar Iqbal's Hit Papers
Peers
Comparison fields: 5 of 72
- Human-Computer Interaction 180
- Computer Vision and Pattern Recognition 636
- Control and Systems Engineering 277
- Computer Graphics and Computer-Aided Design 23
- Computational Mechanics 101
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 158 | |
| 2 | 2017 | 142 | |
| 3 | 2016 | 110 | |
| 4 | PhysDiff: Physics-Guided Human Motion Diffusion Model Hit paper breakdown → | 2023 | 109 |
| 5 | 2022 | 76 | |
| 6 | 2021 | 53 | |
| 7 | 2018 | 22 | |
| 8 | 2024 | 20 | |
| 9 | 2022 | 20 | |
| 10 | 2024 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2024 | 13 | |
| 13 | 2024 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 3D Pose Estimation from a Single Monocular Image | 2015 | 3 |
| 20 | 2025 | 1 |
About Umar Iqbal
Umar Iqbal is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 799 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (14 papers), Human Motion and Animation (9 papers), Advanced Vision and Imaging (6 papers), Video Surveillance and Tracking Methods (5 papers), 3D Shape Modeling and Analysis (5 papers), Computer Graphics and Visualization Techniques (3 papers), Hand Gesture Recognition Systems (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Human-Computer Interaction (180 citations), Computer Vision and Pattern Recognition (636 citations), Control and Systems Engineering (277 citations), Computer Graphics and Computer-Aided Design (23 citations) and Computational Mechanics (101 citations). Umar Iqbal has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jüergen Gall, Jan Kautz, Anton Milan, Pavlo Molchanov, Björn Krüger, Andreas Weber⋆, Ye Yuan, Jiaming Song, Arash Vahdat and Ye Yuan. Their work appears in journals such as Computer Vision and Image Understanding, Proceedings of the AAAI/ACM Conference on AI Ethics and Society, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and HAL (Le Centre pour la Communication Scientifique Directe).
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.