John Schulman
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- Robotic Path Planning Algorithms 5
- Human Pose and Action Recognition 2
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics 8
- Machine Learning and Algorithms 3
- Adversarial Robustness in Machine Learning 3
- Gaussian Processes and Bayesian Inference 2
- Domain Adaptation and Few-Shot Learning 2
- Automotive Engineering top 2%
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 4
- Co-authors
- Pieter AbbeelPhilipp MoritzSergey LevineMichael I. JordanAlex Pui‐Wai LeeJonathan HoYan DuanKen Goldberg
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringArtificial Intelligence
- Journals
- JNCI Journal of the National Cancer Institute (1 paper)The International Journal of Robotics Research (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
John Schulman
20 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 1.2k
- Control and Systems Engineering 1.1k
- Artificial Intelligence 1.6k
- Automotive Engineering 331
- Aerospace Engineering 488
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-authorship network
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 | 2024 | 1 | |
| 2 | Leveraging Procedural Generation to Benchmark Reinforcement Learning | 2020 | 8 |
| 3 | Distribution Augmentation for Generative Modeling | 2020 | 8 |
| 4 | 2018 | 38 | |
| 5 | VIME: Variational Information Maximizing Exploration | 2016 | 55 |
| 6 | 2016 | 117 | |
| 7 | Optimizing Expectations: From Deep Reinforcement Learning to Stochastic Computation Graphs | 2016 | 21 |
| 8 | 2016 | 89 | |
| 9 | Benchmarking deep reinforcement learning for continuous control | 2016 | 163 |
| 10 | Trust Region Policy Optimizationbreakdown → | 2015 | 1573 |
| 11 | 2015 | 68 | |
| 12 | Motion planning with sequential convex optimization and convex collision checkingbreakdown → | 2014 | 539 |
| 13 | 2014 | 18 | |
| 14 | 2014 | 14 | |
| 15 | 2013 | 275 | |
| 16 | 2013 | 63 | |
| 17 | 2013 | 20 | |
| 18 | 2013 | 119 | |
| 19 | ILLUSTRATIONS OF A DENSITY-EQUALIZING MAP PROJECTION TECHNIQUE | 1987 | 1 |
| 20 | 1987 | 14 |
About John Schulman
John Schulman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, 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), Machine Learning and Algorithms (3 papers), Adversarial Robustness in Machine Learning (3 papers), Gaussian Processes and Bayesian Inference (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Human Pose and Action Recognition (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) and Artificial Intelligence (1.6k citations). John Schulman has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Pieter Abbeel, Philipp Moritz, Sergey Levine, Michael I. Jordan, Alex Pui‐Wai Lee, Jonathan Ho, Yan Duan, Ken Goldberg, Sachin Patil and Rein Houthooft. Their work appears in journals such as JNCI Journal of the National Cancer Institute, The International Journal of Robotics Research, Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University) and Ghent University Academic Bibliography (Ghent 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.