Matteo Hessel Google Scholar: h-index, Total Citations, and Citation Map
Matteo Hessel's h-index is 28 (33 i10-index, 20,776+ total citations across 38+ publications) according to Google Scholar as of November 2026. Matteo Hessel is affiliated with Google DeepMind.
Matteo Hessel is a researcher affiliated with Google DeepMind, specializing in Artificial Intelligence, Machine Learning, Computer Science. Their work has been cited 20,776 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Matteo Hessel's Citation Metrics
Bibliometric impact based on 38 indexed publications.
- H-Index
- 28
- i10-Index
- 33
- Total Citations
- 20,776
- Citing Countries
- 32
As of November 2026.
Matteo Hessel has an h-index of 28 and 20,776 total citations across 38 publications, with research cited by institutions in 32 countries.
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Dueling Network Architectures for Deep Reinforcement Learning
20167,379
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 Matteo Hessel's research
Matteo Hessel is a researcher in Artificial Intelligence, Machine Learning and Computer Science at Google DeepMind. Their work has been cited 20,776 times across 38 publications (h-index 28), according to Google Scholar.
Their most-cited work, “Dueling Network Architectures for Deep Reinforcement Learning” (2016), has accumulated 7,379 citations. Other influential work includes “Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities” (2025) with 5,153 citations.
Citations of Matteo Hessel'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.
