John Schulman
Impact in
-
- Robotic Path Planning Algorithms
-
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
-
- Reinforcement Learning in Robotics 8
- Adversarial Robustness in Machine Learning 3
- Machine Learning and Algorithms 3
- Domain Adaptation and Few-Shot Learning 2
-
- Robotic Path Planning Algorithms 5
- Co-authors
- Pieter Abbeel (14 shared papers)Philipp Moritz (1 shared paper)Michael I. Jordan (1 shared paper)Sergey Levine (1 shared paper)Alex Pui‐Wai Lee (4 shared papers)Jonathan Ho (3 shared papers)Yan Duan (8 shared papers)Ken Goldberg (4 shared papers)
- Journals
- The International Journal of Robotics Research (1 paper)JNCI Journal of the National Cancer Institute (1 paper)eScholarship (California Digital Library) (2 papers)International Conference on Machine Learning (2 papers)arXiv (Cornell University) (5 papers)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
John Schulman
20 papers receiving 3.1k citations
John Schulman's Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 1.2k
- Control and Systems Engineering 1.1k
- Artificial Intelligence 1.6k
- Automotive Engineering 333
- Aerospace Engineering 491
Countries citing papers authored by John Schulman
This map shows the geographic impact of John Schulman'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 John Schulman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Schulman more than expected).
Fields of papers citing papers by John Schulman
This network shows the impact of papers produced by John Schulman. 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 John Schulman. The network helps show where John Schulman may publish in the future.
Co-authors
The 25 scholars most cited alongside John Schulman, 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 | Trust Region Policy Optimization Hit paper breakdown → | 2015 | 1592 |
| 2 | Motion planning with sequential convex optimization and convex collision checking Hit paper breakdown → | 2014 | 551 |
| 3 | 2013 | 278 | |
| 4 | Benchmarking deep reinforcement learning for continuous control | 2016 | 163 |
| 5 | 2013 | 119 | |
| 6 | 2016 | 119 | |
| 7 | 2016 | 89 | |
| 8 | 2015 | 68 | |
| 9 | 2013 | 64 | |
| 10 | VIME: Variational Information Maximizing Exploration | 2016 | 55 |
| 11 | 2018 | 38 | |
| 12 | Optimizing Expectations: From Deep Reinforcement Learning to Stochastic Computation Graphs | 2016 | 21 |
| 13 | 2013 | 20 | |
| 14 | 2014 | 18 | |
| 15 | 1987 | 14 | |
| 16 | 2014 | 14 | |
| 17 | Distribution Augmentation for Generative Modeling | 2020 | 8 |
| 18 | Leveraging Procedural Generation to Benchmark Reinforcement Learning | 2020 | 8 |
| 19 | 2024 | 1 | |
| 20 | ILLUSTRATIONS OF A DENSITY-EQUALIZING MAP PROJECTION TECHNIQUE | 1987 | 1 |
About John Schulman
John Schulman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering and Biomedical Engineering, having authored 20 papers that have together received 3.2k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers), Adversarial Robustness in Machine Learning (3 papers), Machine Learning and Algorithms (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Soft Robotics and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Control and Systems Engineering (1.1k citations), Artificial Intelligence (1.6k citations), Automotive Engineering (333 citations) and Aerospace Engineering (491 citations). John Schulman has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Pieter Abbeel, Philipp Moritz, Michael I. Jordan, Sergey Levine, Alex Pui‐Wai Lee, Jonathan Ho, Yan Duan, Ken Goldberg, Sachin Patil and Jia Pan. Their work appears in journals such as The International Journal of Robotics Research, JNCI Journal of the National Cancer Institute, eScholarship (California Digital Library), International Conference on Machine Learning 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.