Stephen Roberts Google Scholar: h-index, Total Citations, and Citation Map
Stephen Roberts's h-index is 1 (1 i10-index, 50,818+ total citations across 1+ publications) according to Google Scholar as of October 2026. Stephen Roberts is affiliated with Professor of Engineering Science (Machine Learning, Information Engineering), University of Oxford.
Stephen Roberts is a researcher affiliated with Professor of Engineering Science (Machine Learning, Information Engineering), University of Oxford, specializing in AI & Machine Learning. Their work has been cited 50,818 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Stephen Roberts's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 50,818
- Citing Countries
- 3
As of October 2026.
Stephen Roberts has an h-index of 1 and 50,818 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
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Conservative q-learning for offline reinforcement learning
20203,211
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 Stephen Roberts's research
Stephen Roberts is a researcher in AI & Machine Learning at Professor of Engineering Science (Machine Learning, Information Engineering), University of Oxford. Their work has been cited 50,818 times across 1 publications, according to Google Scholar.
Their most-cited work, “Conservative q-learning for offline reinforcement learning” (2020), has accumulated 3,211 citations.
Citations of Stephen Roberts's research come primarily from United States, China and India, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
