Bowen Baker
Impact in
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- Robot Manipulation and Learning
- Artificial Intelligence top 2%
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
Papers in
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- Reinforcement Learning in Robotics 3
- Artificial Intelligence in Games 1
- Evolutionary Algorithms and Applications 1
- Adversarial Robustness in Machine Learning 1
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- Blood Pressure and Hypertension Studies 1
- Co-authors
- Bob McGrew (2 shared papers)Josh Tobin (1 shared paper)Lilian Weng (1 shared paper)Wojciech Zaremba (1 shared paper)Jakub Pachocki (1 shared paper)Peter Welinder (1 shared paper)Arthur J Petron (1 shared paper)Jonas Schneider (1 shared paper)
- Journals
- Clinical Kidney Journal (1 paper)The International Journal of Robotics Research (1 paper)arXiv (Cornell University) (4 papers)
- Partner nations
- United States
In The Last Decade
Bowen Baker
6 papers receiving 1.1k citations
Bowen Baker's Hit Papers
Peers
Comparison fields: 5 of 104
- Control and Systems Engineering 544
- Artificial Intelligence 590
- Computer Vision and Pattern Recognition 338
- Human-Computer Interaction 48
- Biomedical Engineering 280
Countries citing papers authored by Bowen Baker
This map shows the geographic impact of Bowen Baker'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 Bowen Baker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bowen Baker more than expected).
Fields of papers citing papers by Bowen Baker
This network shows the impact of papers produced by Bowen Baker. 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 Bowen Baker. The network helps show where Bowen Baker may publish in the future.
Co-authors
The 24 scholars most cited alongside Bowen Baker, 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 | Learning dexterous in-hand manipulation Hit paper breakdown → | 2019 | 915 |
| 2 | 2016 | 210 | |
| 3 | 2018 | 31 | |
| 4 | Emergent Tool Use From Multi-Agent Autocurricula | 2020 | 20 |
| 5 | Practical Neural Network Performance Prediction for Early Stopping. | 2017 | 8 |
| 6 | 2020 | 2 |
About Bowen Baker
Bowen Baker is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Control and Systems Engineering, Sociology and Political Science and Safety Research, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Artificial Intelligence in Games (1 paper), Evolutionary Algorithms and Applications (1 paper), Experimental Behavioral Economics Studies (1 paper), Adversarial Robustness in Machine Learning (1 paper), Game Theory and Applications (1 paper), Teleoperation and Haptic Systems (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Control and Systems Engineering (544 citations), Artificial Intelligence (590 citations), Computer Vision and Pattern Recognition (338 citations), Human-Computer Interaction (48 citations) and Biomedical Engineering (280 citations). Bowen Baker has collaborated with scholars based in United States. Frequent co-authors include Bob McGrew, Josh Tobin, Lilian Weng, Wojciech Zaremba, Jakub Pachocki, Peter Welinder, Arthur J Petron, Jonas Schneider, Rafał Józefowicz and Szymon Sidor. Their work appears in journals such as Clinical Kidney Journal, The International Journal of Robotics Research and arXiv (Cornell University).
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.