Bria Long

37 papers and 806 indexed citations i.

About

Bria Long is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bria Long has authored 37 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 12 papers in Developmental and Educational Psychology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bria Long’s work include Face Recognition and Perception (12 papers), Child and Animal Learning Development (11 papers) and Visual perception and processing mechanisms (8 papers). Bria Long is often cited by papers focused on Face Recognition and Perception (12 papers), Child and Animal Learning Development (11 papers) and Visual perception and processing mechanisms (8 papers). Bria Long collaborates with scholars based in United States, United Kingdom and The Netherlands. Bria Long's co-authors include Talia Konkle, Chen-Ping Yu, C. L. Cheeseman, Michael C. Frank, George A. Alvarez, Frank Tuyttens, David W. Macdonald, Richard J. Delahay, Christl A. Donnelly and Kyle MacDonald and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Bria Long i

Fields of papers citing papers by Bria Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bria Long. 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 Bria Long. The network helps show where Bria Long may publish in the future.

Countries citing papers authored by Bria Long

Since Specialization
Citations

This map shows the geographic impact of Bria Long'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 Bria Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bria Long 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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