Sander Dieleman: h-index, Total Citations, and Citation Map
Sander Dieleman's h-index is 1 (1 i10-index, 54,836+ total citations across 1+ publications) according to Google Scholar as of June 2026. Sander Dieleman is affiliated with Research Scientist, Google DeepMind.
Sander Dieleman is a researcher affiliated with Research Scientist, Google DeepMind, specializing in AI & Machine Learning. Their work has been cited 54,836 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Sander Dieleman's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 54,836
- Citing Countries
- 8
As of June 2026.
Sander Dieleman has an h-index of 1 and 54,836 total citations across 1 publication, with research cited by institutions in 8 countries.
Global Impact Map
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Mastering the game of Go with deep neural networks and tree search
201625,057
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 Sander Dieleman's research
Sander Dieleman is a researcher in AI & Machine Learning at Research Scientist, Google DeepMind. Their work has been cited 54,836 times across 1 publications, according to Google Scholar.
Their most-cited work, “Mastering the game of Go with deep neural networks and tree search” (2016), has accumulated 25,057 citations.
Citations of Sander Dieleman's research come primarily from China, Germany and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
