Andrew Barto Google Scholar: h-index, Total Citations, and Citation Map
Andrew Barto's h-index is 1 (1 i10-index, 149,047+ total citations across 1+ publications) according to Google Scholar as of October 2026. Andrew Barto is affiliated with University of Massachusetts Amherst.
Andrew Barto is a researcher affiliated with University of Massachusetts Amherst, specializing in AI & Machine Learning. Their work has been cited 149,047 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Andrew Barto's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 149,047
- Citing Countries
- 3
As of October 2026.
Andrew Barto has an h-index of 1 and 149,047 total citations across 1 publication, with research cited by institutions in 3 countries.
Global Impact Map
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Reinforcement Learning: An Introduction
199894,523
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 Andrew Barto's research
Andrew Barto is a researcher in AI & Machine Learning at University of Massachusetts Amherst. Their work has been cited 149,047 times across 1 publications, according to Google Scholar.
Their most-cited work, “Reinforcement Learning: An Introduction” (1998), has accumulated 94,523 citations.
Citations of Andrew Barto's research come primarily from China, United States and Australia, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
