Jonathan Tremblay
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
-
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
Papers in
-
- Artificial Intelligence in Games 11
- Reinforcement Learning in Robotics 3
-
- Human Pose and Action Recognition 6
- Advanced Neural Network Applications 4
- Co-authors
- Stan Birchfield (11 shared papers)Dieter Fox (4 shared papers)Xiang Yu (2 shared papers)Balakumar Sundaralingam (1 shared paper)Thang To (2 shared papers)Clark Verbrugge (10 shared papers)Yuke Zhu (2 shared papers)Ankur Handa (1 shared paper)
- Journals
- Brain Research (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (4 papers)IGI Global eBooks (1 paper)Foundations of Digital Games (4 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jonathan Tremblay
25 papers receiving 679 citations
Jonathan Tremblay's Hit Papers
Peers
Comparison fields: 5 of 68
- Human-Computer Interaction 132
- Computer Vision and Pattern Recognition 448
- Control and Systems Engineering 295
- Aerospace Engineering 123
- Artificial Intelligence 161
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DexYCB: A Benchmark for Capturing Hand Grasping of Objects Hit paper breakdown → | 2021 | 174 |
| 2 | 2018 | 143 | |
| 3 | 2019 | 116 | |
| 4 | 2021 | 65 | |
| 5 | 2022 | 38 | |
| 6 | 2021 | 20 | |
| 7 | 2010 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2013 | 16 | |
| 10 | 2023 | 14 | |
| 11 | Adaptive companions in FPS games. | 2013 | 10 |
| 12 | 2022 | 10 | |
| 13 | 2014 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2014 | 7 | |
| 16 | Measuring risk in stealth games. | 2014 | 7 |
| 17 | 2014 | 6 | |
| 18 | 2012 | 5 | |
| 19 | Clustering Player Paths. | 2015 | 4 |
| 20 | Target selection for AI companions in FPS games. | 2014 | 4 |
About Jonathan Tremblay
Jonathan Tremblay is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Control and Systems Engineering and Aerospace Engineering, having authored 25 papers that have together received 705 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (11 papers), Digital Games and Media (11 papers), Robot Manipulation and Learning (7 papers), Human Pose and Action Recognition (6 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Neural Network Applications (4 papers), Reinforcement Learning in Robotics (3 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Human-Computer Interaction (132 citations), Computer Vision and Pattern Recognition (448 citations), Control and Systems Engineering (295 citations), Aerospace Engineering (123 citations) and Artificial Intelligence (161 citations). Jonathan Tremblay has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Stan Birchfield, Dieter Fox, Xiang Yu, Balakumar Sundaralingam, Thang To, Clark Verbrugge, Yuke Zhu, Ankur Handa, Pavlo Molchanov and Xiaodong Yang. Their work appears in journals such as Brain Research, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, IGI Global eBooks and Foundations of Digital Games.
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.