Bria Long

1.9k citations
39 papers · 950 · h-index 13

Impact in

Papers in

Bria Long

39 papers receiving 917 citations

Peers

Bria Long
Comparison fields: 5 of 111
  • Cognitive Neuroscience 364
  • Information Systems and Management 106
  • Statistics, Probability and Uncertainty 99
  • Developmental and Educational Psychology 113
  • Experimental and Cognitive Psychology 109
Replace Alicia Hofelich Mohr with:
Alicia Hofelich Mohr United States
Dieter Vanderelst Belgium
Byron F. Robinson United States
Adena Schachner United States
Ulf Toelch Germany
Christian Nawroth Germany
Daniel R. Little Australia
Ester Ferrari Italy
Jason M. Tangen Australia
Christina Bergmann Netherlands
Bria Long relative to Alicia Hofelich Mohr United States Alicia Hofelich Mohr's profile →
Citations per field
00.5×3.2×
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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018192
2 2018146
3 2000129
4 201574
5 201754
6 202152
7 200150
8 201548
9 202324
10 201718
11 200716
12 199314
13 201913
14 202112
15 202311
16
Drawings as a window into developmental changes in object representations.
20189
17 20249
18 20229
19 20188
20 20138

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 39 papers that have together received 950 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), Wildlife Ecology and Conservation (3 papers), Multisensory perception and integration (3 papers) and Language Development and Disorders (3 papers). The work is most often cited by research in Cognitive Neuroscience (364 citations), Information Systems and Management (106 citations), Statistics, Probability and Uncertainty (99 citations), Developmental and Educational Psychology (113 citations) and Experimental and Cognitive Psychology (109 citations). Bria Long has collaborated with scholars based in United States, United Kingdom and Germany. 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 Kyle MacDonald. Their work appears in journals such as Journal of Vision, Nature Communications, Visual Cognition, Royal Society Open Science 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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