Carl Doersch Google Scholar: h-index, Total Citations, and Citation Map
Carl Doersch's h-index is 33 (39 i10-index, 34,053+ total citations across 57+ publications) according to Google Scholar as of October 2026. Carl Doersch is affiliated with Google DeepMind.
Carl Doersch is a researcher affiliated with Google DeepMind, specializing in Computer Vision, Machine Learning. Their work has been cited 34,053 times. This profile visualizes their global influence, spanning a global audience.
Carl Doersch's Citation Metrics
Bibliometric impact based on 57 indexed publications.
- H-Index
- 33
- i10-Index
- 39
- Total Citations
- 34,053
- Citing Countries
- 0
As of October 2026.
Carl Doersch has an h-index of 33 and 34,053 total citations across 57 publications, with research cited by institutions in 0 countries.
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Bootstrap Your Own Latent-A New Approach to Self-Supervised Learning
202011,233
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Carl Doersch's research
Carl Doersch is a researcher in Computer Vision and Machine Learning at Google DeepMind. Their work has been cited 34,053 times across 57 publications (h-index 33), according to Google Scholar.
Their most-cited work, “Bootstrap Your Own Latent-A New Approach to Self-Supervised Learning” (2020), has accumulated 11,233 citations. Other influential works include “Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities” (2025) with 4,069 citations and “Unsupervised visual representation learning by context prediction” (2015) with 3,876 citations.
