Mary J. Bravo
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms 18
- Neural and Behavioral Psychology Studies 9
- Face Recognition and Perception 8
- Neural dynamics and brain function 5
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- Visual Attention and Saliency Detection 4
- Digital Media Forensic Detection 3
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- Multisensory perception and integration 3
- Human-Computer Interaction top 5%
- Sensory Systems top 10%
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- Law in Society and Culture 2
- Co-authors
- Hany FaridKen NakayamaRandolph BlakeSharon D. MorrisonSuzanne P. McKeeGordon E. LeggeScott WatamaniukD TAYLOR
- Cited by
- Cognitive NeuroscienceComputer Vision and Pattern RecognitionExperimental and Cognitive Psychology
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Mary J. Bravo
27 papers receiving 924 citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 744
- Computer Vision and Pattern Recognition 348
- Experimental and Cognitive Psychology 146
- Human-Computer Interaction 59
- Sensory Systems 32
Countries citing papers authored by Mary J. Bravo
This map shows the geographic impact of Mary J. Bravo'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 Mary J. Bravo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary J. Bravo more than expected).
Fields of papers citing papers by Mary J. Bravo
This network shows the impact of papers produced by Mary J. Bravo. 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 Mary J. Bravo. The network helps show where Mary J. Bravo may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Mary J. Bravo, 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 | 2016 | 15 | |
| 2 | 2015 | 8 | |
| 3 | 2015 | 3 | |
| 4 | 2013 | 8 | |
| 5 | 2012 | 1 | |
| 6 | 2011 | 33 | |
| 7 | 2011 | 56 | |
| 8 | 2009 | 66 | |
| 9 | 2008 | 49 | |
| 10 | 2006 | 23 | |
| 11 | 2004 | 48 | |
| 12 | 2003 | 13 | |
| 13 | 1998 | 10 | |
| 14 | 1995 | 27 | |
| 15 | 1995 | 27 | |
| 16 | 1994 | 36 | |
| 17 | 1992 | 5 | |
| 18 | 1992 | 320 | |
| 19 | 1990 | 62 | |
| 20 | 1988 | 73 |
About Mary J. Bravo
Mary J. Bravo is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 27 papers that have together received 964 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (18 papers), Neural and Behavioral Psychology Studies (9 papers), Face Recognition and Perception (8 papers), Neural dynamics and brain function (5 papers), Visual Attention and Saliency Detection (4 papers), Multisensory perception and integration (3 papers), Digital Media Forensic Detection (3 papers) and Law in Society and Culture (2 papers). The work is most often cited by research in Cognitive Neuroscience (744 citations), Computer Vision and Pattern Recognition (348 citations) and Experimental and Cognitive Psychology (146 citations). Mary J. Bravo has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Hany Farid, Ken Nakayama, Randolph Blake, Sharon D. Morrison, Suzanne P. McKee, Gordon E. Legge, Scott Watamaniuk, D TAYLOR, Harvey S. Smallman and Benedetto Piccoli. Their work appears in journals such as Vision Research, Perception, Journal of Vision, Attention Perception & Psychophysics and Memory & Cognition.
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.