Bria Long

1.9k total citations
40 papers, 906 citations indexed

About

Bria Long is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Automotive Engineering. According to data from OpenAlex, Bria Long has authored 40 papers receiving a total of 906 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 Automotive Engineering. 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 Japan. Bria Long's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Bria Long

37 papers receiving 871 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bria Long United States 13 349 143 109 107 102 40 906
Alicia Hofelich Mohr United States 10 122 0.3× 7 0.0× 41 0.4× 104 1.0× 25 0.2× 26 687
Dieter Vanderelst Belgium 19 377 1.1× 259 1.8× 266 2.4× 17 0.2× 26 0.3× 64 1.1k
Catherine Watson New Zealand 20 123 0.4× 70 0.5× 122 1.1× 84 0.8× 49 0.5× 97 1.6k
Adena Schachner United States 11 539 1.5× 27 0.2× 184 1.7× 12 0.1× 40 0.4× 33 948
Jason M. Tangen Australia 21 386 1.1× 6 0.0× 130 1.2× 19 0.2× 77 0.8× 63 1.1k
Carolyn Semmler Australia 13 337 1.0× 65 0.5× 14 0.1× 11 0.1× 45 0.4× 33 607
Yuji Wada Japan 21 208 0.6× 62 0.4× 20 0.2× 5 0.0× 33 0.3× 96 1.4k
Christian Nawroth Germany 16 80 0.2× 121 0.8× 82 0.8× 7 0.1× 3 0.0× 68 879
Ulf Toelch Germany 11 125 0.4× 50 0.3× 30 0.3× 24 0.2× 3 0.0× 24 482
Benjamin A. Knott United States 16 72 0.2× 71 0.5× 15 0.1× 14 0.1× 13 0.1× 58 716

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-authorship network of co-authors of Bria Long

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

All Works

20 of 20 papers shown
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Long, Bria, et al.. (2024). Parallel developmental changes in children’s production and recognition of line drawings of visual concepts. Nature Communications. 15(1). 1191–1191. 6 indexed citations
4.
Long, Bria, George Kachergis, Virginia A. Marchman, et al.. (2023). The BabyView camera: Designing a new head-mounted camera to capture children’s early social and visual environments. Behavior Research Methods. 56(4). 3523–3534. 10 indexed citations
5.
Long, Bria, et al.. (2022). A longitudinal analysis of the social information in infants’ naturalistic visual experience using automated detections.. Developmental Psychology. 58(12). 2211–2229. 7 indexed citations
6.
Hardwicke, Tom E, Manuel Bohn, Kyle MacDonald, et al.. (2021). Analytic reproducibility in articles receiving open data badges at the journal Psychological Science : an observational study. Royal Society Open Science. 8(1). 201494–201494. 48 indexed citations
7.
Zettersten, Martin, Mika Braginsky, George Kachergis, et al.. (2021). Peekbank: Exploring children's word recognition through an open, large-scale repository for developmental eye-tracking data. eScholarship (California Digital Library). 6 indexed citations
8.
Long, Bria, et al.. (2021). Automated detections reveal the social information in the changing infant view. Child Development. 93(1). 101–116. 10 indexed citations
9.
Long, Bria, et al.. (2019). Developmental changes in the ability to draw distinctive features of object categories. PsyArXiv (OSF Preprints). 6 indexed citations
10.
Long, Bria, et al.. (2019). Real-world size is automatically encoded in preschoolers’ object representations.. Journal of Experimental Psychology Human Perception & Performance. 45(7). 863–876. 12 indexed citations
11.
Carey, Susan, et al.. (2019). Animacy and object size are reflected in perceptual similarity computations by the preschool years. Visual Cognition. 27. 435–451. 2 indexed citations
12.
Long, Bria, et al.. (2019). Developmental changes in the ability to draw distinctive features of object categories. Journal of Vision. 19(10). 59b–59b. 6 indexed citations
13.
Hardwicke, Tom E, Maya B. Mathur, Kyle MacDonald, et al.. (2018). Data availability, reusability, and analytic reproducibility: evaluating the impact of a mandatory open data policy at the journal Cognition. Royal Society Open Science. 5(8). 180448–180448. 183 indexed citations
14.
Long, Bria, Judith E. Fan, & Michael C. Frank. (2018). Drawings as a window into developmental changes in object representations.. Cognitive Science. 9 indexed citations
15.
Long, Bria, Viola S. Störmer, & George A. Alvarez. (2017). Mid-level perceptual features contain early cues to animacy. Journal of Vision. 17(6). 20–20. 51 indexed citations
16.
Long, Bria, Talia Konkle, Michael B. Cohen, & George A. Alvarez. (2015). Mid-level perceptual features distinguish objects of different real-world sizes.. Journal of Experimental Psychology General. 145(1). 95–109. 46 indexed citations
17.
Kouider, Sid, Bria Long, Sylvain Charron, et al.. (2015). Neural dynamics of prediction and surprise in infants. Nature Communications. 6(1). 8537–8537. 73 indexed citations
18.
Boroditsky, Lera, Caitlin M. Fausey, & Bria Long. (2009). The role of language in eye-witness memory: Remembering who did it in English and Japanese. eScholarship (California Digital Library). 31(31). 1 indexed citations
19.
Tuyttens, Frank, Richard J. Delahay, David W. Macdonald, et al.. (2000). Spatial perturbation caused by a badger (Meles meles) culling operation: implications for the function of territoriality and the control of bovine tuberculosis (Mycobacterium bovis). Journal of Animal Ecology. 69(5). 815–828. 129 indexed citations
20.
Long, Bria, et al.. (1993). Home–school differences in stress hormone levels in a group of Oxford primary schoolchildren. Journal of Biosocial Science. 25(1). 73–78. 14 indexed citations

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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