Jonathan Tremblay
Impact in
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Computational Mechanics top 1%
- 3D Shape Modeling and Analysis
Papers in
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- Robot Manipulation and Learning 13
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- Artificial Intelligence in Games 11
- Reinforcement Learning in Robotics 4
- Co-authors
- Stan T. Birchfield (17 shared papers)Thang To (5 shared papers)Orazio Gallo (2 shared papers)Tero Karras (1 shared paper)Gordon Wetzstein (1 shared paper)Matthew A. Chan (1 shared paper)Boxiao Pan (1 shared paper)Connor Z. Lin (1 shared paper)
- Journals
- Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (7 papers)IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (4 papers)IGI Global eBooks (1 paper)IEEE Winter Conference on Applications of Computer Vision (1 paper)IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jonathan Tremblay
34 papers receiving 2.5k citations
Jonathan Tremblay's Hit Papers
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 1.2k
- Computational Mechanics 807
- Computer Graphics and Computer-Aided Design 149
- Control and Systems Engineering 504
- Human-Computer Interaction 117
Countries citing papers authored by Jonathan Tremblay
This map shows the geographic impact of Jonathan Tremblay'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 Jonathan Tremblay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Tremblay more than expected).
Fields of papers citing papers by Jonathan Tremblay
This network shows the impact of papers produced by Jonathan Tremblay. 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 Jonathan Tremblay. The network helps show where Jonathan Tremblay may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Tremblay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient Geometry-aware 3D Generative Adversarial Networks Hit paper breakdown → | 2022 | 854 |
| 2 | Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization Hit paper breakdown → | 2018 | 634 |
| 3 | DexYCB: A Benchmark for Capturing Hand Grasping of Objects Hit paper breakdown → | 2021 | 208 |
| 4 | 2018 | 134 | |
| 5 | 2019 | 134 | |
| 6 | 2022 | 88 | |
| 7 | 2021 | 76 | |
| 8 | 2020 | 74 | |
| 9 | 2020 | 45 | |
| 10 | 2022 | 42 | |
| 11 | 2018 | 34 | |
| 12 | 2022 | 28 | |
| 13 | 2023 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2020 | 20 | |
| 16 | 2021 | 20 | |
| 17 | 2010 | 18 | |
| 18 | 2013 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2020 | 15 |
About Jonathan Tremblay
Jonathan Tremblay is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 34 papers that have together received 2.6k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Artificial Intelligence in Games (11 papers), 3D Shape Modeling and Analysis (6 papers), Reinforcement Learning in Robotics (4 papers), Advanced Neural Network Applications (4 papers), Digital Games and Media (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Computational Mechanics (807 citations), Computer Graphics and Computer-Aided Design (149 citations), Control and Systems Engineering (504 citations) and Human-Computer Interaction (117 citations). Jonathan Tremblay has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stan T. Birchfield, Thang To, Orazio Gallo, Tero Karras, Gordon Wetzstein, Matthew A. Chan, Boxiao Pan, Connor Z. Lin, Sameh Khamis and Shalini De Mello. Their work appears in journals such as Proceedings - IEEE International Conference on Robotics and Automation/Proceedings, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IGI Global eBooks, IEEE Winter Conference on Applications of Computer Vision and IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.