Bria Long

1.9k citations
40 papers · 906 · h-index 13

Impact in

Papers in

Bria Long

37 papers receiving 871 citations

Peers

Bria Long
Comparison fields: 5 of 107
  • Cognitive Neuroscience 349
  • Information Systems and Management 107
  • Statistics, Probability and Uncertainty 102
  • Developmental and Educational Psychology 109
  • Experimental and Cognitive Psychology 99
Replace Alicia Hofelich Mohr with:
Alicia Hofelich Mohr United States
Ulf Toelch Germany
Christian Nawroth Germany
Dieter Vanderelst Belgium
Ulrich Knief Germany
Eric M. Clark United States
Philip N. Lehner United States
Adena Schachner United States
Christina Bergmann Netherlands
Estelle Russek United States
Bria Long relative to Alicia Hofelich Mohr United States Alicia Hofelich Mohr's profile →
Citations per field
00.5×
Alicia Hofelich Mohr · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Bria Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bria Long Line = papers co-authored together Bria Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018183
2 2018140
3 2000129
4 201573
5 201751
6 200150
7 202148
8 201546
9 202322
10 200716
11 201715
12 199314
13 201912
14 202110
15 202310
16
Drawings as a window into developmental changes in object representations.
20189
17 20138
18 20227
19 20187
20 20216

About Bria Long

Bria Long is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Automotive Engineering, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 40 papers that have together received 906 indexed citations. Recurring topics across this work include Face Recognition and Perception (12 papers), Child and Animal Learning Development (11 papers), Visual perception and processing mechanisms (8 papers), Spatial Cognition and Navigation (7 papers), Visual Attention and Saliency Detection (6 papers), Multisensory perception and integration (3 papers), Wildlife Ecology and Conservation (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Cognitive Neuroscience (349 citations), Information Systems and Management (107 citations), Statistics, Probability and Uncertainty (102 citations), Developmental and Educational Psychology (109 citations) and Experimental and Cognitive Psychology (99 citations). Bria Long has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Talia Konkle, Chen-Ping Yu, Michael C. Frank, C. L. Cheeseman, George A. Alvarez, David W. Macdonald, Frank Tuyttens, Richard J. Delahay, Christl A. Donnelly and Tom E Hardwicke. Their work appears in journals such as Journal of Vision, Nature Communications, Royal Society Open Science, Visual Cognition and Developmental Psychology.

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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