Jonathan Tremblay
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
Papers in
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- Human Pose and Action Recognition 6
- Advanced Neural Network Applications 4
- Image Processing and 3D Reconstruction 2
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- Artificial Intelligence in Games 10
- Reinforcement Learning in Robotics 3
- Co-authors
- Stan Birchfield (11 shared papers)Dieter Fox (4 shared papers)Xiang Yu (2 shared papers)Thang To (2 shared papers)Clark Verbrugge (10 shared papers)Balakumar Sundaralingam (1 shared paper)Yuke Zhu (2 shared papers)Zheng Tang (1 shared paper)
- Journals
- Brain Research (1 paper)Foundations of Digital Games (4 papers)arXiv (Cornell University) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (4 papers)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Jonathan Tremblay
24 papers receiving 598 citations
Peers
Comparison fields: 5 of 65
- Human-Computer Interaction 114
- Computer Vision and Pattern Recognition 401
- Control and Systems Engineering 276
- Artificial Intelligence 148
- Aerospace Engineering 112
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 148 | |
| 2 | 2018 | 133 | |
| 3 | 2019 | 110 | |
| 4 | 2021 | 62 | |
| 5 | 2022 | 32 | |
| 6 | 2021 | 16 | |
| 7 | 2013 | 15 | |
| 8 | 2021 | 15 | |
| 9 | 2010 | 12 | |
| 10 | Adaptive companions in FPS games. | 2013 | 10 |
| 11 | 2022 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 8 | |
| 15 | Measuring risk in stealth games. | 2014 | 6 |
| 16 | 2014 | 6 | |
| 17 | 2014 | 5 | |
| 18 | Clustering Player Paths. | 2015 | 4 |
| 19 | Target selection for AI companions in FPS games. | 2014 | 4 |
| 20 | 2020 | 4 |
About Jonathan Tremblay
Jonathan Tremblay is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Control and Systems Engineering and Aerospace Engineering, having authored 24 papers that have together received 624 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (10 papers), Digital Games and Media (10 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 Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Human-Computer Interaction (114 citations), Computer Vision and Pattern Recognition (401 citations), Control and Systems Engineering (276 citations), Artificial Intelligence (148 citations) and Aerospace Engineering (112 citations). Jonathan Tremblay has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Stan Birchfield, Dieter Fox, Xiang Yu, Thang To, Clark Verbrugge, Balakumar Sundaralingam, Yuke Zhu, Zheng Tang, Ratnesh Kumar and Shuo Wang. Their work appears in journals such as Brain Research, Foundations of Digital Games, arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.