Matthew V. Chafee
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Psychiatry and Mental health top 10%
- Co-authors
- Patricia S. Goldman‐RakicDavid A. CroweBruno B. AverbeckShintaro FunahashiApostolos P. GeorgopoulosAngus W. MacDonaldRachael K. BlackmanScott R. Sponheim
- Topics
- Neural dynamics and brain function (23 papers)Memory and Neural Mechanisms (14 papers)Neural and Behavioral Psychology Studies (12 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
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
- Social Psychology 240
- Experimental and Cognitive Psychology 203
- Psychiatry and Mental health 174
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 of co-authors of Matthew V. Chafee
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew V. Chafee. A scholar is included among the top collaborators of Matthew V. Chafee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew V. Chafee. Matthew V. Chafee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 23 | |
| 4 | 1 | |
| 5 | 26 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 15 | |
| 9 | 119 | |
| 10 | 16 | |
| 11 | 66 | |
| 12 | 54 | |
| 13 | 85 | |
| 14 | 64 | |
| 15 | 14 | |
| 16 | 38 | |
| 17 | 84 | |
| 18 | 106 | |
| 19 | Prefrontal neuronal activity in rhesus monkeys performing a delayed anti-saccade taskbreakdown → | 534 |
| 20 | 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) and Neural and Behavioral Psychology Studies (12 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 Nature, Proceedings of the National Academy of Sciences and Neuron.
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.