Peter Dayan
- General Decision Sciences top 0.05%
- Decision-Making and Behavioral Economics 32
- Cognitive Neuroscience top 0.01%
- Neural dynamics and brain function 141
- Neural and Behavioral Psychology Studies 115
- Memory and Neural Mechanisms 55
- Visual perception and processing mechanisms 34
- Cellular and Molecular Neuroscience top 0.02%
- Neurotransmitter Receptor Influence on Behavior 43
- Experimental and Cognitive Psychology top 0.05%
- Mental Health Research Topics 49
- Applied Psychology top 0.1%
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- Neural Networks and Applications 36
- Co-authors
- Christopher J. WatkinsRaymond J. DolanP. Read MontagueNathaniel D. DawWolfram SchultzYael NivJohn P. O’DohertyL. F. Abbott
- Journals
- PLoS Computational Biology (35 papers)Neural Computation (18 papers)Journal of Neuroscience (16 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Peter Dayan
415 papers receiving 53.3k citations
Hit Papers
Peers
Comparison fields: 5 of 225
- General Decision Sciences 3.3k
- Cognitive Neuroscience 32.1k
- Cellular and Molecular Neuroscience 12.2k
- Experimental and Cognitive Psychology 7.0k
- Applied Psychology 1.8k
Countries citing papers authored by Peter Dayan
This map shows the geographic impact of Peter Dayan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Dayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Dayan more than expected).
Fields of papers citing papers by Peter Dayan
This network shows the impact of papers produced by Peter Dayan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Dayan. The network helps show where Peter Dayan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Dayan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 21 | |
| 8 | 2019 | 47 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 89 | |
| 12 | 2015 | 3 | |
| 13 | 2014 | 212 | |
| 14 | 2009 | 2 | |
| 15 | Bayesian Model of Behaviour in Economic Games | 2008 | 25 |
| 16 | 2008 | 2 | |
| 17 | 2004 | 0 | |
| 18 | 2003 | 3 | |
| 19 | Curved Gaussian Models with Application to the Modeling of Foreign Exchange Rates | 1999 | 3 |
| 20 | SYNAPTIC LEARNING RULES | 1992 | 1 |
About Peter Dayan
Peter Dayan is a scholar working on General Decision Sciences, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 442 papers that have together received 54.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (141 papers), Neural and Behavioral Psychology Studies (115 papers), Memory and Neural Mechanisms (55 papers), Mental Health Research Topics (49 papers), Neurotransmitter Receptor Influence on Behavior (43 papers), Neural Networks and Applications (36 papers), Visual perception and processing mechanisms (34 papers) and Decision-Making and Behavioral Economics (32 papers). The work is most often cited by research in General Decision Sciences (3.3k citations), Cognitive Neuroscience (32.1k citations) and Cellular and Molecular Neuroscience (12.2k citations). Peter Dayan has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Christopher J. Watkins, Raymond J. Dolan, P. Read Montague, Nathaniel D. Daw, Wolfram Schultz, Yael Niv, John P. O’Doherty, L. F. Abbott, Ben Seymour and Angela J. Yu. Their work appears in journals such as PLoS Computational Biology, Neural Computation, Journal of Neuroscience, Proceedings of the National Academy of Sciences and Nature Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.