Erwin Coumans
Impact in
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- Robot Manipulation and Learning
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- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
Papers in
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- Human Motion and Animation 4
- Robot Manipulation and Learning 3
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- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 2
- Image Processing and 3D Reconstruction 1
- Co-authors
- Yunfei Bai (2 shared papers)Jie Tan (2 shared papers)Vincent Vanhoucke (2 shared papers)Tingnan Zhang (2 shared papers)Atıl Işçen (2 shared papers)Steven Bohez (1 shared paper)Danijar Hafner (1 shared paper)Vikas Sindhwani (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)Research at the University of Copenhagen (University of Copenhagen) (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Erwin Coumans
11 papers receiving 673 citations
Erwin Coumans's Hit Papers
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 299
- Computer Vision and Pattern Recognition 213
- Artificial Intelligence 255
- Biomedical Engineering 281
- Human-Computer Interaction 21
Countries citing papers authored by Erwin Coumans
This map shows the geographic impact of Erwin Coumans'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 Erwin Coumans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erwin Coumans more than expected).
Fields of papers citing papers by Erwin Coumans
This network shows the impact of papers produced by Erwin Coumans. 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 Erwin Coumans. The network helps show where Erwin Coumans may publish in the future.
Co-authors
The 25 scholars most cited alongside Erwin Coumans, 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 | Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Hit paper breakdown → | 2018 | 379 |
| 2 | 2021 | 92 | |
| 3 | 2015 | 90 | |
| 4 | 2020 | 56 | |
| 5 | 2022 | 28 | |
| 6 | 2012 | 19 | |
| 7 | 2019 | 13 | |
| 8 | 2022 | 8 | |
| 9 | 2007 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2014 | 1 | |
| 12 | 2007 | 1 | |
| 13 | 2025 | 0 |
About Erwin Coumans
Erwin Coumans is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 13 papers that have together received 697 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Human Motion and Animation (4 papers), Robot Manipulation and Learning (3 papers), Robotic Locomotion and Control (3 papers), Reinforcement Learning in Robotics (2 papers), Advanced Vision and Imaging (2 papers), Image Processing and 3D Reconstruction (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Control and Systems Engineering (299 citations), Computer Vision and Pattern Recognition (213 citations), Artificial Intelligence (255 citations), Biomedical Engineering (281 citations) and Human-Computer Interaction (21 citations). Erwin Coumans has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Yunfei Bai, Jie Tan, Vincent Vanhoucke, Tingnan Zhang, Atıl Işçen, Steven Bohez, Danijar Hafner, Vikas Sindhwani, Andy Zeng and Jonathan Tompson. Their work appears in journals such as IEEE Robotics and Automation Letters, 2022 International Conference on Robotics and Automation (ICRA), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Research at the University of Copenhagen (University of Copenhagen).
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.