John Duncan
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 55
- Neural and Behavioral Psychology Studies 44
- Functional Brain Connectivity Studies 41
- EEG and Brain-Computer Interfaces 19
- Visual perception and processing mechanisms 12
- Memory and Neural Mechanisms 11
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- Cognitive Abilities and Testing 6
- General Decision Sciences top 5%
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- Dementia and Cognitive Impairment Research 6
- Co-authors
- Daniel J. MitchellEvelina FedorenkoNancy KanwisherBen M. CrittendenAlexandra WoolgarRussell ThompsonNatasha SigalaMakoto Kusunoki
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Partner nations
- United KingdomUnited StatesArgentina
In The Last Decade
John Duncan
89 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Cognitive Neuroscience 4.7k
- Experimental and Cognitive Psychology 808
- Developmental and Educational Psychology 547
- Cellular and Molecular Neuroscience 557
- General Decision Sciences 55
Countries citing papers authored by John Duncan
This map shows the geographic impact of John Duncan'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 John Duncan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Duncan more than expected).
Fields of papers citing papers by John Duncan
This network shows the impact of papers produced by John Duncan. 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 John Duncan. The network helps show where John Duncan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Duncan, 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 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 31 | |
| 11 | 2020 | 170 | |
| 12 | 2020 | 61 | |
| 13 | 2018 | 78 | |
| 14 | 2013 | 50 | |
| 15 | 2013 | 39 | |
| 16 | 2012 | 108 | |
| 17 | 2009 | 23 | |
| 18 | An adaptive coding model of neural function in prefrontal cortexbreakdown → | 2001 | 649 |
| 19 | 1997 | 121 | |
| 20 | 1965 | 1 |
About John Duncan
John Duncan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Neuropsychology and Physiological Psychology, having authored 94 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (55 papers), Neural and Behavioral Psychology Studies (44 papers), Functional Brain Connectivity Studies (41 papers), EEG and Brain-Computer Interfaces (19 papers), Visual perception and processing mechanisms (12 papers), Memory and Neural Mechanisms (11 papers), Dementia and Cognitive Impairment Research (6 papers) and Cognitive Abilities and Testing (6 papers). The work is most often cited by research in Cognitive Neuroscience (4.7k citations), Experimental and Cognitive Psychology (808 citations) and Developmental and Educational Psychology (547 citations). John Duncan has collaborated with scholars based in United Kingdom, United States and Argentina. Frequent co-authors include Daniel J. Mitchell, Evelina Fedorenko, Nancy Kanwisher, Ben M. Crittenden, Alexandra Woolgar, Russell Thompson, Natasha Sigala, Makoto Kusunoki, Mark G. Stokes and David Gaffan. Their work appears in journals such as Journal of Neuroscience, Cerebral Cortex, NeuroImage, Neuropsychologia and Journal of Cognitive 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.