Karen Simonyan: h-index, Total Citations, and Citation Map
Karen Simonyan's h-index is 60 (72 i10-index, 303,488+ total citations across 75+ publications) according to Google Scholar as of June 2026. Karen Simonyan is affiliated with Chief Scientist, Microsoft AI.
Karen Simonyan is a researcher affiliated with Chief Scientist, Microsoft AI, specializing in Artificial Intelligence, Deep Learning. Their work has been cited 303,488 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Karen Simonyan's Citation Metrics
Bibliometric impact based on 75 indexed publications.
- H-Index
- 60
- i10-Index
- 72
- Total Citations
- 303,488
- Citing Countries
- 20
As of June 2026.
Karen Simonyan has an h-index of 60 and 303,488 total citations across 75 publications, with research cited by institutions in 20 countries.
Global Impact Map
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Very Deep Convolutional Networks for Large-Scale Image Recognition
2014161,913
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 Karen Simonyan's research
Karen Simonyan is a researcher in Artificial Intelligence and Deep Learning at Chief Scientist, Microsoft AI. Their work has been cited 303,488 times across 75 publications (h-index 60), according to Google Scholar.
Their most-cited work, “Very Deep Convolutional Networks for Large-Scale Image Recognition” (2014), has accumulated 161,913 citations. Other influential works include “Very Deep Convolutional Networks for Large-Scale Image Recognition” (2014) with 160,529 citations and “Mastering the game of go without human knowledge” (2017) with 13,931 citations.
Citations of Karen Simonyan's research come primarily from United States, China 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.
