Peter Dayan: h-index, Total Citations, and Citation Map
Peter Dayan's h-index is 131 (389 i10-index, 124,131+ total citations across 917+ publications) according to Google Scholar as of July 2026. Peter Dayan is affiliated with MPI for Biological Cybernetics.
Peter Dayan is a researcher affiliated with MPI for Biological Cybernetics, specializing in various fields. Their work has been cited 124,131 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Peter Dayan's Citation Metrics
Bibliometric impact based on 917 indexed publications.
- H-Index
- 131
- i10-Index
- 389
- Total Citations
- 124,131
- Citing Countries
- 43
As of July 2026.
Peter Dayan has an h-index of 131 and 124,131 total citations across 917 publications, with research cited by institutions in 43 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Q-Learning
199222,442
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
23 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework linking dopamine signaling to reinforcement learning mechanisms, significantly advancing the computational understanding of human decision-making and exploratory behavior.
The researcher established a computational framework for population codes, extending it to model uncertainty-based neural competition and dopamine-mediated control of behavioral vigor.
The researcher pioneered the wake-sleep algorithm for unsupervised neural networks, establishing a foundational framework for learning in neural systems that has been widely adopted and extended by the independent scientific community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Peter Dayan's research
Peter Dayan is a researcher at MPI for Biological Cybernetics. Their work has been cited 124,131 times across 917 publications (h-index 131), according to Google Scholar.
Their most-cited work, “Q-Learning” (1992), has accumulated 22,442 citations. Other influential works include “A neural substrate of prediction and reward” (1997) with 12,968 citations and “Theoretical neuroscience: computational and mathematical modeling of neural systems” (2005) with 8,179 citations.
Citations of Peter Dayan'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.
