Alex Graves Google Scholar: h-index, Total Citations, and Citation Map
Alex Graves's h-index is 67 (96 i10-index, 191,015+ total citations across 100+ publications) according to Google Scholar as of October 2026. Alex Graves is affiliated with University of Toronto.
Alex Graves is a researcher affiliated with University of Toronto, specializing in various fields. Their work has been cited 191,015 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Alex Graves's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 67
- i10-Index
- 96
- Total Citations
- 191,015
- Citing Countries
- 69
As of October 2026.
Alex Graves has an h-index of 67 and 191,015 total citations across 100 publications, with research cited by institutions in 69 countries.
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Global Impact Map
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Human-level control through deep reinforcement learning
201544,676
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Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Alex Graves's research
Alex Graves is a researcher at University of Toronto. Their work has been cited 191,015 times across 100 publications (h-index 67), according to Google Scholar.
Their most-cited work, “Human-level control through deep reinforcement learning” (2015), has accumulated 44,676 citations. Other influential works include “Playing atari with deep reinforcement learning” (2013) with 21,629 citations and “Asynchronous methods for deep reinforcement learning” (2016) with 15,772 citations.
Citations of Alex Graves's research come primarily from China, United States 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.











