Kevin Leyton-Brown: h-index, Total Citations, and Citation Map
Kevin Leyton-Brown's h-index is 68 (143 i10-index, 34,168+ total citations across 264+ publications) according to Google Scholar as of June 2026. Kevin Leyton-Brown is affiliated with Professor, Computer Science, University of British Columbia; Canada CIFAR AI Chair.
Kevin Leyton-Brown is a researcher affiliated with Professor, Computer Science, University of British Columbia; Canada CIFAR AI Chair, specializing in artificial intelligence, machine learning, game theory. Their work has been cited 34,168 times. This profile visualizes their global influence, highlighting strong citation networks in Germany.
Kevin Leyton-Brown's Citation Metrics
Bibliometric impact based on 264 indexed publications.
- H-Index
- 68
- i10-Index
- 143
- Total Citations
- 34,168
- Citing Countries
- 15
As of June 2026.
Kevin Leyton-Brown has an h-index of 68 and 34,168 total citations across 264 publications, with research cited by institutions in 15 countries.
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We've mapped 5,000 of 34,168 citations for Kevin Leyton-Brown
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Multiagent systems: Algorithmic, game-theoretic, and logical foundations
20094,417
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Kevin Leyton-Brown's research
Kevin Leyton-Brown is a researcher in artificial intelligence, machine learning and game theory at Professor, Computer Science, University of British Columbia; Canada CIFAR AI Chair. Their work has been cited 34,168 times across 264 publications (h-index 68), according to Google Scholar.
Their most-cited work, “Multiagent systems: Algorithmic, game-theoretic, and logical foundations” (2009), has accumulated 4,417 citations. Other influential works include “Sequential model-based optimization for general algorithm configuration” (2011) with 4,053 citations and “Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms” (2013) with 2,424 citations.
Citations of Kevin Leyton-Brown's research come primarily from Germany, United States and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
