Michal Zielinski Google Scholar: h-index, Total Citations, and Citation Map
Michal Zielinski has 73,853+ total citations according to Google Scholar as of November 2026. Michal Zielinski is affiliated with DeepMind.
Michal Zielinski is a researcher affiliated with DeepMind, specializing in AI & Machine Learning. Their work has been cited 73,853 times. This profile visualizes their global influence, highlighting strong citation networks in United Kingdom.
Michal Zielinski's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 73,853
- Citing Countries
- 10
As of November 2026.
Michal Zielinski has an h-index of 1 and 73,853 total citations across 1 publication, with research cited by institutions in 10 countries.
Global Impact Map
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Highly accurate protein structure prediction with AlphaFold
202148,532
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 Michal Zielinski's research
Michal Zielinski is a researcher in AI & Machine Learning at DeepMind. Their work has been cited 73,853 times across 1 publication, according to Google Scholar.
Their most-cited work, “Highly accurate protein structure prediction with AlphaFold” (2021), has accumulated 48,532 citations.
Citations of Michal Zielinski's research come primarily from United Kingdom, Germany and United States, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
