Umar Iqbal

3.2k citations
38 papers · 2.4k · 2 hit papers · h-index 21

Impact in

Papers in

Umar Iqbal

35 papers receiving 2.4k citations

Umar Iqbal's Hit Papers

PhysDiff: Physics-Guided Human Motion Diffusion Model 2023 · 169 citations
1690+1+3Years since publication50100150200

Peers

Umar Iqbal
Comparison fields: 5 of 62
  • Human-Computer Interaction 588
  • Computer Vision and Pattern Recognition 1.6k
  • Control and Systems Engineering 440
  • Computational Mechanics 366
  • Computer Graphics and Computer-Aided Design 24
Replace Dushyant Mehta with:
Dushyant Mehta Germany
Oleksandr Sotnychenko Germany
Vasileios Choutas Germany
Muhammed Kocabas Switzerland
Grégory Rogez Spain
Yu-Wei Chao United States
Gyeongsik Moon South Korea
Takaaki Shiratori United States
Rıza Alp Güler United Kingdom
Franziska Mueller Germany
Umar Iqbal relative to Dushyant Mehta Germany Dushyant Mehta's profile →
Citations per field
00.5×2×2.7×
Dushyant Mehta · 1×
Citations per year

Countries citing papers authored by Umar Iqbal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Umar Iqbal Line = papers co-authored together Umar Iqbal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018378
2 2018250
3
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
Hit paper breakdown →
2021208
4 2017174
5
PhysDiff: Physics-Guided Human Motion Diffusion Model
Hit paper breakdown →
2023169
6 2019159
7 2016152
8 2016115
9 2020114
10 202298
11 202092
12 201789
13 202164
14 202048
15 202131
16 201830
17 202430
18 202129
19 202028
20 202228

About Umar Iqbal

Umar Iqbal is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 38 papers that have together received 2.4k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (15 papers), 3D Shape Modeling and Analysis (12 papers), Human Motion and Animation (6 papers), Video Surveillance and Tracking Methods (5 papers), Hand Gesture Recognition Systems (3 papers), Computer Graphics and Visualization Techniques (2 papers), Face recognition and analysis (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Human-Computer Interaction (588 citations), Computer Vision and Pattern Recognition (1.6k citations), Control and Systems Engineering (440 citations), Computational Mechanics (366 citations) and Computer Graphics and Computer-Aided Design (24 citations). Umar Iqbal has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jüergen Gall, Jan Kautz, Pavlo A. Molchanov, Anton Milan, Mykhaylo Andriluka, Leonid Pishchulin, Bernt Schiele, Eldar Insafutdinov, Otmar Hilliges and Thomas Michael Breuel. Their work appears in journals such as Science Robotics, Computer Vision and Image Understanding, Lecture notes in computer science, neural information processing systems and International Conference on 3D Vision (3DV).

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.

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