Umar Iqbal
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems 2
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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
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- Computer Graphics and Visualization Techniques 3
- Computational Mechanics top 10%
- 3D Shape Modeling and Analysis 5
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- Robotics and Sensor-Based Localization 2
- Co-authors
- Jüergen GallJan KautzAnton MilanPavlo MolchanovAndreas Weber⋆Björn KrügerArash VahdatYe Yuan
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- Computer Vision and Image Understanding (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Umar Iqbal
20 papers receiving 721 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Human-Computer Interaction 177
- Computer Vision and Pattern Recognition 616
- Control and Systems Engineering 264
- Computer Graphics and Computer-Aided Design 22
- Computational Mechanics 98
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 8 | |
| 8 | 2023 | 8 | |
| 9 | PhysDiff: Physics-Guided Human Motion Diffusion Modelbreakdown → | 2023 | 98 |
| 10 | 2023 | 9 | |
| 11 | 2022 | 20 | |
| 12 | 2022 | 71 | |
| 13 | 2021 | 148 | |
| 14 | 2021 | 52 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 15 | |
| 17 | 2018 | 21 | |
| 18 | 2017 | 138 | |
| 19 | 2016 | 110 | |
| 20 | 3D Pose Estimation from a Single Monocular Image | 2015 | 3 |
About Umar Iqbal
Umar Iqbal is a scholar working on Computer Graphics and Computer-Aided Design, Health Informatics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Human-Computer Interaction, having authored 20 papers that have together received 755 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), Robotics and Sensor-Based Localization (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Human-Computer Interaction (177 citations), Computer Vision and Pattern Recognition (616 citations), Control and Systems Engineering (264 citations), Computer Graphics and Computer-Aided Design (22 citations) and Computational Mechanics (98 citations). Umar Iqbal has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jüergen Gall, Jan Kautz, Anton Milan, Pavlo Molchanov, Andreas Weber⋆, Björn Krüger, Arash Vahdat, Ye Yuan, Jiaming Song and Ye Yuan. Their work appears in journals such as Computer Vision and Image Understanding, SPIRE - Sciences Po Institutional REpository, Proceedings of the AAAI/ACM Conference on AI Ethics and Society, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.