koray kavukcuoglu: h-index, Total Citations, and Citation Map
koray kavukcuoglu's h-index is 90 (142 i10-index, 349,473+ total citations across 196+ publications) according to Google Scholar as of September 2026. koray kavukcuoglu is affiliated with DeepMind.
koray kavukcuoglu is a researcher affiliated with DeepMind, specializing in various fields. Their work has been cited 349,473 times. This profile visualizes their global influence, highlighting strong citation networks in China.
koray kavukcuoglu's Citation Metrics
Bibliometric impact based on 196 indexed publications.
- H-Index
- 90
- i10-Index
- 142
- Total Citations
- 349,473
- Citing Countries
- 77
As of September 2026.
koray kavukcuoglu has an h-index of 90 and 349,473 total citations across 196 publications, with research cited by institutions in 77 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing koray kavukcuoglu's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Highly accurate protein structure prediction with AlphaFold
202153,869
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About koray kavukcuoglu's research
koray kavukcuoglu is a researcher at DeepMind. Their work has been cited 349,473 times across 196 publications (h-index 90), according to Google Scholar.
Their most-cited work, “Highly accurate protein structure prediction with AlphaFold” (2021), has accumulated 53,869 citations. Other influential works include “Human-level control through deep reinforcement learning” (2015) with 43,515 citations and “Mastering the game of Go with deep neural networks and tree search” (2016) with 25,713 citations.
Citations of koray kavukcuoglu'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.
