John Schulman: h-index, Total Citations, and Citation Map
John Schulman's h-index is 1 (1 i10-index, 178,444+ total citations across 1+ publications) according to Google Scholar as of June 2026. John Schulman is affiliated with Thinking Machines.
John Schulman is a researcher affiliated with Thinking Machines, specializing in AI & Machine Learning. Their work has been cited 178,444 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
John Schulman's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 178,444
- Citing Countries
- 4
As of June 2026.
John Schulman has an h-index of 1 and 178,444 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
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Proximal Policy Optimization Algorithms
201737,970
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About John Schulman's research
John Schulman is a researcher in AI & Machine Learning at Thinking Machines. Their work has been cited 178,444 times across 1 publications, according to Google Scholar.
Their most-cited work, “Proximal Policy Optimization Algorithms” (2017), has accumulated 37,970 citations.
Citations of John Schulman's research come primarily from United States, China and Singapore, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
