Erwin Coumans

1.4k total citations · 1 hit paper
13 papers, 697 citations indexed

About

Erwin Coumans is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Erwin Coumans has authored 13 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Erwin Coumans's work include Human Motion and Animation (4 papers), Human Pose and Action Recognition (4 papers) and Robot Manipulation and Learning (3 papers). Erwin Coumans is often cited by papers focused on Human Motion and Animation (4 papers), Human Pose and Action Recognition (4 papers) and Robot Manipulation and Learning (3 papers). Erwin Coumans collaborates with scholars based in United States, Sweden and Denmark. Erwin Coumans's co-authors include Jie Tan, Yunfei Bai, Vincent Vanhoucke, Atıl Işçen, Tingnan Zhang, Steven Bohez, Danijar Hafner, Vikas Sindhwani, Andy Zeng and Daniel Seita and has published in prestigious journals such as IEEE Robotics and Automation Letters, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Research at the University of Copenhagen (University of Copenhagen).

In The Last Decade

Erwin Coumans

11 papers receiving 673 citations

Hit Papers

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Erwin Coumans United States 8 299 281 255 213 91 13 697
Yunfei Bai United States 10 360 1.2× 292 1.0× 278 1.1× 229 1.1× 86 0.9× 20 731
Brijen Thananjeyan United States 15 367 1.2× 261 0.9× 176 0.7× 169 0.8× 69 0.8× 25 688
Wenhao Yu United States 14 323 1.1× 181 0.6× 162 0.6× 177 0.8× 52 0.6× 36 625
Eric Cousineau United States 13 377 1.3× 454 1.6× 124 0.5× 190 0.9× 81 0.9× 18 883
Michael Laskey United States 15 519 1.7× 257 0.9× 193 0.8× 223 1.0× 95 1.0× 26 711
Takayuki Osa Japan 15 370 1.2× 324 1.2× 288 1.1× 231 1.1× 63 0.7× 34 944
Abdeslam Boularias United States 16 392 1.3× 164 0.6× 377 1.5× 253 1.2× 84 0.9× 59 782
Dinesh Jayaraman United States 13 240 0.8× 212 0.8× 346 1.4× 634 3.0× 62 0.7× 27 1.1k
Ashwin Balakrishna United States 11 305 1.0× 150 0.5× 137 0.5× 107 0.5× 44 0.5× 30 554
Daniel Seita United States 14 300 1.0× 174 0.6× 107 0.4× 163 0.8× 44 0.5× 22 534

Countries citing papers authored by Erwin Coumans

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Erwin Coumans

This figure shows the co-authorship network connecting the top 25 collaborators of Erwin Coumans. A scholar is included among the top collaborators of Erwin Coumans based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Erwin Coumans. Erwin Coumans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
2.
Lim, Michael, Andy Zeng, Brian Ichter, et al.. (2022). Multi-Task Learning with Sequence-Conditioned Transporter Networks. 2022 International Conference on Robotics and Automation (ICRA). 2489–2496. 8 indexed citations
3.
Heiden, Eric, et al.. (2022). Inferring Articulated Rigid Body Dynamics from RGBD Video. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8383–8390. 5 indexed citations
4.
Andriluka, Mykhaylo, et al.. (2022). Differentiable Dynamics for Articulated 3d Human Motion Reconstruction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13180–13190. 28 indexed citations
5.
Seita, Daniel, Pete Florence, Jonathan Tompson, et al.. (2021). Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. 4568–4575. 92 indexed citations
6.
Yu, Wenhao, Jie Tan, Yunfei Bai, Erwin Coumans, & Sehoon Ha. (2020). Learning Fast Adaptation With Meta Strategy Optimization. IEEE Robotics and Automation Letters. 5(2). 2950–2957. 56 indexed citations
7.
Işçen, Atıl, Ken Caluwaerts, Jie Tan, et al.. (2019). Policies Modulating Trajectory Generators. arXiv (Cornell University). 916–926. 13 indexed citations
8.
Tan, Jie, Tingnan Zhang, Erwin Coumans, et al.. (2018). Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. 379 indexed citations breakdown →
9.
Coumans, Erwin. (2015). Bullet physics simulation. 1–1. 90 indexed citations
10.
Coumans, Erwin, et al.. (2014). Multithreading for Visual Effects. 1 indexed citations
11.
Bender, Jan, Kenny Erleben, Jeff Trinkle, & Erwin Coumans. (2012). Interactive Simulation of Rigid Body Dynamics in Computer Graphics. Research at the University of Copenhagen (University of Copenhagen). 19 indexed citations
12.
Coumans, Erwin, et al.. (2007). COLLADA physics. 101–104. 5 indexed citations
13.
Barnes, Mark, et al.. (2007). Open source toolchains. 27–29. 1 indexed citations

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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