John Schulman

18 papers and 3.1k indexed citations i.

About

John Schulman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, John Schulman has authored 18 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in John Schulman’s work include Reinforcement Learning in Robotics (7 papers), Robotic Path Planning Algorithms (5 papers) and Robotics and Sensor-Based Localization (4 papers). John Schulman is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Robotic Path Planning Algorithms (5 papers) and Robotics and Sensor-Based Localization (4 papers). John Schulman collaborates with scholars based in United States, Italy and Belgium. John Schulman's co-authors include Pieter Abbeel, Sergey Levine, Michael I. Jordan, Philipp Moritz, Alex Pui‐Wai Lee, Jonathan Ho, Yan Duan, Sachin Patil, Ken Goldberg and Aravind Rajeswaran and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, The International Journal of Robotics Research and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of John Schulman i

Fields of papers citing papers by John Schulman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by John Schulman

Since Specialization
Citations

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).

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.

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