John Schulman Google Scholar: h-index, Total Citations, and Citation Map
John Schulman's h-index is 71 (99 i10-index, 203,838+ total citations across 100+ publications) according to Google Scholar as of November 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 203,838 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
John Schulman's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 71
- i10-Index
- 99
- Total Citations
- 203,838
- Citing Countries
- 75
As of November 2026.
John Schulman has an h-index of 71 and 203,838 total citations across 100 publications, with research cited by institutions in 75 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 203,838 times across 100 publications (h-index 71), according to Google Scholar.
Their most-cited work, “Proximal Policy Optimization Algorithms” (2017), has accumulated 37,970 citations. Other influential works include “Training language models to follow instructions with human feedback” (2022) with 30,886 citations and “Gpt-4 technical report” (2023) with 27,596 citations.
Citations of John Schulman's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
