Mary J. Bravo

27 papers and 915 indexed citations i.

About

Mary J. Bravo is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Mary J. Bravo has authored 27 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Social Psychology. Recurrent topics in Mary J. Bravo’s work include Visual perception and processing mechanisms (18 papers), Neural and Behavioral Psychology Studies (9 papers) and Face Recognition and Perception (8 papers). Mary J. Bravo is often cited by papers focused on Visual perception and processing mechanisms (18 papers), Neural and Behavioral Psychology Studies (9 papers) and Face Recognition and Perception (8 papers). Mary J. Bravo collaborates with scholars based in United States, Netherlands and United Kingdom. Mary J. Bravo's co-authors include Hany Farid, Ken Nakayama, Randolph Blake, Sharon D. Morrison, Gordon E. Legge, Suzanne P. McKee, Scott Watamaniuk, D TAYLOR, Harvey S. Smallman and Marco Caponigro and has published in prestigious journals such as Vision Research, Memory & Cognition and Journal of Vision.

In The Last Decade

Co-authorship network of co-authors of Mary J. Bravo

This figure shows the co-authorship network connecting the top 25 collaborators of Mary J. Bravo. A scholar is included among the top collaborators of Mary J. Bravo 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 Mary J. Bravo. Mary J. Bravo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Mary J. Bravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Mary J. Bravo

Since Specialization
Citations

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).

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.

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