Coline Devin
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
- Explainable Artificial Intelligence (XAI)
- AI-based Problem Solving and Planning
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Reinforcement Learning in Robotics 5
- Topic Modeling 1
- Domain Adaptation and Few-Shot Learning 1
- Natural Language Processing Techniques 1
- Speech and dialogue systems 1
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- Autonomous Vehicle Technology and Safety 2
- Co-authors
- Trevor Jackson Darrell (7 shared papers)Sergey Levine (4 shared papers)Pieter Abbeel (4 shared papers)Abhishek Gupta (1 shared paper)Dequan Wang (2 shared papers)Qi-Zhi Cai (2 shared papers)Fisher Yu (1 shared paper)Philipp Krähenbühl (1 shared paper)
- Journals
- Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (4 papers)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (1 paper)Springer proceedings in advanced robotics (1 paper)arXiv (Cornell University) (1 paper)IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Coline Devin
10 papers receiving 519 citations
Coline Devin's Hit Papers
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 310
- Automotive Engineering 76
- Control and Systems Engineering 156
- Computer Vision and Pattern Recognition 72
- Health Informatics 2
Countries citing papers authored by Coline Devin
This map shows the geographic impact of Coline Devin'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 Coline Devin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Coline Devin more than expected).
Fields of papers citing papers by Coline Devin
This network shows the impact of papers produced by Coline Devin. 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 Coline Devin. The network helps show where Coline Devin may publish in the future.
Co-authors
The 25 scholars most cited alongside Coline Devin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 197 | |
| 2 | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 Hit paper breakdown → | 2024 | 94 |
| 3 | 2019 | 73 | |
| 4 | 2019 | 57 | |
| 5 | 2018 | 48 | |
| 6 | 2020 | 42 | |
| 7 | 2021 | 11 | |
| 8 | 2022 | 6 | |
| 9 | Compositional Plan Vectors | 2019 | 4 |
| 10 | 2025 | 2 |
About Coline Devin
Coline Devin is a scholar working on Artificial Intelligence, Automotive Engineering, Control and Systems Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 534 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Robot Manipulation and Learning (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Topic Modeling (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Natural Language Processing Techniques (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Artificial Intelligence (310 citations), Automotive Engineering (76 citations), Control and Systems Engineering (156 citations), Computer Vision and Pattern Recognition (72 citations) and Health Informatics (2 citations). Coline Devin has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Trevor Jackson Darrell, Sergey Levine, Pieter Abbeel, Abhishek Gupta, Dequan Wang, Qi-Zhi Cai, Fisher Yu, Philipp Krähenbühl, Kate Saenko and Judy Hoffman. Their work appears in journals such as Proceedings - IEEE International Conference on Robotics and Automation/Proceedings, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Springer proceedings in advanced robotics, arXiv (Cornell University) and 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.