S Russell Google Scholar: h-index, Total Citations, and Citation Map
S Russell's h-index is 109 (362 i10-index, 163,901+ total citations across 769+ publications) according to Google Scholar as of November 2026. S Russell is affiliated with University of California, Berkeley.
S Russell is a researcher affiliated with University of California, Berkeley, specializing in AI & Machine Learning. Their work has been cited 163,901 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
S Russell's Citation Metrics
Bibliometric impact based on 769 indexed publications.
- H-Index
- 109
- i10-Index
- 362
- Total Citations
- 163,901
- Citing Countries
- 74
As of November 2026.
S Russell has an h-index of 109 and 163,901 total citations across 769 publications, with research cited by institutions in 74 countries.
Global Impact Map
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Artificial Intelligence: A Modern Approach
201081,042
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
1341 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for approximate reasoning and probabilistic inference, extending core principles to anytime algorithms and first-order languages.
The researcher established a foundational framework for adaptive, decision-theoretic search control, later expanded into principles of metareasoning that significantly influenced the field.
The researcher established a foundational framework for analogy and single-instance generalization, extending into broader cognitive constraints and operational boundaries.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About S Russell's research
S Russell is a researcher in AI & Machine Learning at University of California, Berkeley. Their work has been cited 163,901 times across 769 publications (h-index 109), according to Google Scholar.
Their most-cited work, “Artificial Intelligence: A Modern Approach” (2010), has accumulated 81,042 citations. Other influential works include “Algorithms for inverse reinforcement learning.” (2000) with 5,467 citations and “Human compatible” (2019) with 4,386 citations.
Citations of S Russell'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.
