Chris Bregler
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 2%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Co-authors
- Kevin MurphyGeorge PapandreouAlexander ToshevTyler ZhuJonathan TompsonJihun YuHao LiYuting Ye
- Topics
- Human Motion and Animation (7 papers)Advanced Vision and Imaging (6 papers)Human Pose and Action Recognition (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionControl and Systems Engineering
- Journals
- ACM Transactions on GraphicsIEEE Signal Processing MagazineProceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- United StatesNetherlandsAustria
In The Last Decade
Chris Bregler
14 papers receiving 888 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 786
- Artificial Intelligence 204
- Human-Computer Interaction 203
- Control and Systems Engineering 168
- Biomedical Engineering 106
Countries citing papers authored by Chris Bregler
This map shows the geographic impact of Chris Bregler'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 Chris Bregler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Bregler more than expected).
Fields of papers citing papers by Chris Bregler
This network shows the impact of papers produced by Chris Bregler. 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 Chris Bregler. The network helps show where Chris Bregler may publish in the future.
Co-authorship network of co-authors of Chris Bregler
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Bregler. A scholar is included among the top collaborators of Chris Bregler 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 Chris Bregler. Chris Bregler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | Towards Accurate Multi-person Pose Estimation in the Wildbreakdown → | 518 |
| 5 | 6 | |
| 6 | 197 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 32 | |
| 10 | Motion Capture Technology for Entertainment | 10 |
| 11 | 2 | |
| 12 | 85 | |
| 13 | 28 | |
| 14 | Video Based Animation Techniques for Human Motion | 2 |
About Chris Bregler
Chris Bregler is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 14 papers that have together received 914 indexed citations. Recurring topics across this work include Human Motion and Animation (7 papers), Advanced Vision and Imaging (6 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (786 citations), Human-Computer Interaction (203 citations) and Control and Systems Engineering (168 citations). Chris Bregler has collaborated with scholars based in United States, Netherlands and Austria. Frequent co-authors include Kevin Murphy, George Papandreou, Alexander Toshev, Tyler Zhu, Jonathan Tompson, Jihun Yu, Hao Li, Yuting Ye, Alyssa Lees and Christian A. Rodriguez. Their work appears in journals such as ACM Transactions on Graphics, IEEE Signal Processing Magazine and Proceedings of the AAAI Conference on Artificial Intelligence.
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.