Matthew Greene
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Visual perception and processing mechanisms
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Free Will and Agency
- Structural Biology top 10%
Papers in
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- Face Recognition and Perception 2
- Neural dynamics and brain function 2
- Free Will and Agency 1
- Psychology of Moral and Emotional Judgment 1
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- Retinal Development and Disorders 2
- Co-authors
- Janet Metcalfe (2 shared papers)Joy Hirsch (2 shared papers)Jennifer A. Mangels (2 shared papers)Christopher Summerfield (2 shared papers)Tobias Egner (2 shared papers)Étienne Koechlin (1 shared paper)H. Sebastian Seung (2 shared papers)Jinseop S. Kim (2 shared papers)
- Journals
- Cell Reports (1 paper)Nature (1 paper)PLoS Biology (1 paper)Science (1 paper)Journal of Experimental Psychology General (1 paper)
- Partner nations
- United StatesGermanyBurundi
In The Last Decade
Matthew Greene
8 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 713
- Structural Biology 26
- Biophysics 73
- Cellular and Molecular Neuroscience 211
- Experimental and Cognitive Psychology 97
Countries citing papers authored by Matthew Greene
This map shows the geographic impact of Matthew Greene'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 Matthew Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Greene more than expected).
Fields of papers citing papers by Matthew Greene
This network shows the impact of papers produced by Matthew Greene. 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 Matthew Greene. The network helps show where Matthew Greene may publish in the future.
Co-authors
The 21 scholars most cited alongside Matthew Greene, 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 | 2006 | 392 | |
| 2 | 2014 | 310 | |
| 3 | 2007 | 170 | |
| 4 | 2006 | 89 | |
| 5 | 2016 | 85 | |
| 6 | 2007 | 22 | |
| 7 | 2025 | 2 | |
| 8 | 2012 | 1 |
About Matthew Greene
Matthew Greene is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face Recognition and Perception (2 papers), Retinal Development and Disorders (2 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neural Engineering (1 paper), Free Will and Agency (1 paper), Psychology of Moral and Emotional Judgment (1 paper), Air Traffic Management and Optimization (1 paper) and Balance, Gait, and Falls Prevention (1 paper). The work is most often cited by research in Cognitive Neuroscience (713 citations), Structural Biology (26 citations), Biophysics (73 citations), Cellular and Molecular Neuroscience (211 citations) and Experimental and Cognitive Psychology (97 citations). Matthew Greene has collaborated with scholars based in United States, Germany and Burundi. Frequent co-authors include Janet Metcalfe, Joy Hirsch, Jennifer A. Mangels, Christopher Summerfield, Tobias Egner, Étienne Koechlin, H. Sebastian Seung, Jinseop S. Kim, Srinivas C. Turaga and Bardia F. Behabadi. Their work appears in journals such as Cell Reports, Nature, PLoS Biology, Science and Journal of Experimental Psychology General.
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.