Matthew V. Chafee
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function 23
- Memory and Neural Mechanisms 14
- Neural and Behavioral Psychology Studies 12
- Visual perception and processing mechanisms 11
- Functional Brain Connectivity Studies 9
- Motor Control and Adaptation 5
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- Neuroscience and Neuropharmacology Research 11
- Neurology top 10%
- Sensory Systems top 5%
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- Action Observation and Synchronization 3
Matthew V. Chafee
42 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Cognitive Neuroscience 2.7k
- Cellular and Molecular Neuroscience 637
- Neurology 131
- Experimental and Cognitive Psychology 203
- Sensory Systems 63
Countries citing papers authored by Matthew V. Chafee
This map shows the geographic impact of Matthew V. Chafee'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 V. Chafee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew V. Chafee more than expected).
Fields of papers citing papers by Matthew V. Chafee
This network shows the impact of papers produced by Matthew V. Chafee. 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 V. Chafee. The network helps show where Matthew V. Chafee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew V. Chafee, 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 | 2023 | 3 | |
| 2 | 2022 | 21 | |
| 3 | 2022 | 23 | |
| 4 | 2022 | 1 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 8 | |
| 7 | 2019 | 10 | |
| 8 | 2016 | 15 | |
| 9 | 2013 | 119 | |
| 10 | 2013 | 16 | |
| 11 | 2012 | 66 | |
| 12 | 2011 | 54 | |
| 13 | 2010 | 85 | |
| 14 | 2008 | 64 | |
| 15 | 2008 | 14 | |
| 16 | 2005 | 38 | |
| 17 | 2003 | 84 | |
| 18 | 2003 | 106 | |
| 19 | Prefrontal neuronal activity in rhesus monkeys performing a delayed anti-saccade taskbreakdown → | 1993 | 534 |
| 20 | 1992 | 72 |
About Matthew V. Chafee
Matthew V. Chafee is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 43 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Memory and Neural Mechanisms (14 papers), Neural and Behavioral Psychology Studies (12 papers), Visual perception and processing mechanisms (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Functional Brain Connectivity Studies (9 papers), Motor Control and Adaptation (5 papers) and Action Observation and Synchronization (3 papers). The work is most often cited by research in Cognitive Neuroscience (2.7k citations), Cellular and Molecular Neuroscience (637 citations) and Neurology (131 citations). Matthew V. Chafee has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Patricia S. Goldman‐Rakic, David A. Crowe, Bruno B. Averbeck, Shintaro Funahashi, Apostolos P. Georgopoulos, Angus W. MacDonald, Rachael K. Blackman, Scott R. Sponheim, Sridhar Raghavachari and Jesper Tegnér. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology, Neuron, Nature Neuroscience and Current Biology.
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.