Sean P. MacEvoy
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms 15
- Neural dynamics and brain function 10
- Face Recognition and Perception 9
- Memory and Neural Mechanisms 7
- Aesthetic Perception and Analysis 2
- Memory Processes and Influences 2
- Sensory Systems top 10%
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- Neuroscience and Neuropharmacology Research 2
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- Visual Attention and Saliency Detection 4
- Automotive Engineering top 10%
- Co-authors
- Russell A. EpsteinMichael A. ParadisoGeoffrey K. AguirreW.J. KimDavid FitzpatrickTimothy D. HanksThomas R. TuckerDrew Linsley
- Partner nations
- United States
In The Last Decade
Sean P. MacEvoy
22 papers receiving 799 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 758
- Sensory Systems 41
- Cellular and Molecular Neuroscience 130
- Computer Vision and Pattern Recognition 125
- Automotive Engineering 62
Countries citing papers authored by Sean P. MacEvoy
This map shows the geographic impact of Sean P. MacEvoy'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 Sean P. MacEvoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean P. MacEvoy more than expected).
Fields of papers citing papers by Sean P. MacEvoy
This network shows the impact of papers produced by Sean P. MacEvoy. 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 Sean P. MacEvoy. The network helps show where Sean P. MacEvoy may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Sean P. MacEvoy, 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 | 2020 | 20 | |
| 2 | 2018 | 14 | |
| 3 | 2014 | 5 | |
| 4 | 2014 | 15 | |
| 5 | 2014 | 14 | |
| 6 | 2013 | 3 | |
| 7 | 2012 | 12 | |
| 8 | 2011 | 1 | |
| 9 | 2011 | 161 | |
| 10 | 2011 | 117 | |
| 11 | 2010 | 13 | |
| 12 | 2009 | 97 | |
| 13 | 2009 | 45 | |
| 14 | 2007 | 50 | |
| 15 | 2007 | 63 | |
| 16 | 2006 | 15 | |
| 17 | 2006 | 6 | |
| 18 | 2005 | 1 | |
| 19 | 2001 | 67 | |
| 20 | 1998 | 63 |
About Sean P. MacEvoy
Sean P. MacEvoy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Sensory Systems, Computer Vision and Pattern Recognition and Biophysics, having authored 22 papers that have together received 807 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (15 papers), Neural dynamics and brain function (10 papers), Face Recognition and Perception (9 papers), Memory and Neural Mechanisms (7 papers), Visual Attention and Saliency Detection (4 papers), Aesthetic Perception and Analysis (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Memory Processes and Influences (2 papers). The work is most often cited by research in Cognitive Neuroscience (758 citations), Sensory Systems (41 citations), Cellular and Molecular Neuroscience (130 citations), Computer Vision and Pattern Recognition (125 citations) and Automotive Engineering (62 citations). Sean P. MacEvoy has collaborated with scholars based in United States. Frequent co-authors include Russell A. Epstein, Michael A. Paradiso, Geoffrey K. Aguirre, W.J. Kim, David Fitzpatrick, Timothy D. Hanks, Thomas R. Tucker, Drew Linsley, Xin Huang and Scott D. Slotnick. Their work appears in journals such as Journal of Vision, Nature Neuroscience, Current Biology, Journal of Neuroscience and Brain Research.
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.