Emily E. Bray

2.0k total citations
22 papers, 656 citations indexed

About

Emily E. Bray is a scholar working on Genetics, Social Psychology and Pharmacy. According to data from OpenAlex, Emily E. Bray has authored 22 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 10 papers in Social Psychology and 5 papers in Pharmacy. Recurrent topics in Emily E. Bray's work include Human-Animal Interaction Studies (19 papers), Neuroendocrine regulation and behavior (8 papers) and Infant Health and Development (5 papers). Emily E. Bray is often cited by papers focused on Human-Animal Interaction Studies (19 papers), Neuroendocrine regulation and behavior (8 papers) and Infant Health and Development (5 papers). Emily E. Bray collaborates with scholars based in United States, Canada and Austria. Emily E. Bray's co-authors include Evan L. MacLean, Brian Hare, James A. Serpell, Dorothy L. Cheney, Robert M. Seyfarth, Mary D. Sammel, Brenda S. Kennedy, Kerinne Levy, Angie M. Johnston and Nathaniel J. Hall and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and Sensors.

In The Last Decade

Emily E. Bray

19 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily E. Bray United States 13 520 293 240 88 62 22 656
Lisa Wallis Hungary 13 440 0.8× 260 0.9× 131 0.5× 43 0.5× 63 1.0× 22 571
Gabriela Barrera Argentina 11 381 0.7× 170 0.6× 175 0.7× 98 1.1× 48 0.8× 26 462
Stefanie Riemer Switzerland 19 656 1.3× 257 0.9× 441 1.8× 48 0.5× 46 0.7× 50 832
Paolo Mongillo Italy 15 578 1.1× 228 0.8× 247 1.0× 63 0.7× 36 0.6× 64 740
Lina S. V. Roth Sweden 14 354 0.7× 172 0.6× 180 0.8× 72 0.8× 19 0.3× 25 656
Charlotte Duranton France 13 382 0.7× 191 0.7× 112 0.5× 102 1.2× 34 0.5× 20 466
Katalin Maros Hungary 9 381 0.7× 157 0.5× 330 1.4× 80 0.9× 24 0.4× 13 662
Leanne Proops United Kingdom 17 679 1.3× 343 1.2× 505 2.1× 38 0.4× 50 0.8× 36 1.1k
Kathryn A. Lord United States 8 383 0.7× 142 0.5× 127 0.5× 66 0.8× 37 0.6× 13 497
Carine Savalli Brazil 13 407 0.8× 189 0.6× 150 0.6× 81 0.9× 42 0.7× 38 587

Countries citing papers authored by Emily E. Bray

Since Specialization
Citations

This map shows the geographic impact of Emily E. Bray'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 Emily E. Bray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily E. Bray more than expected).

Fields of papers citing papers by Emily E. Bray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily E. Bray. 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 Emily E. Bray. The network helps show where Emily E. Bray may publish in the future.

Co-authorship network of co-authors of Emily E. Bray

This figure shows the co-authorship network connecting the top 25 collaborators of Emily E. Bray. A scholar is included among the top collaborators of Emily E. Bray 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 Emily E. Bray. Emily E. Bray 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
2.
Serpell, James A., et al.. (2025). Prediction of assistance dog training outcomes using machine learning and deep learning models. Applied Animal Behaviour Science. 287. 106632–106632. 1 indexed citations
3.
Gnanadesikan, Gitanjali E., Emily E. Bray, Kerinne Levy, et al.. (2024). Basal plasma oxytocin & fecal cortisol concentrations are highly heritable and associated with individual differences in behavior & cognition in dog puppies. Hormones and Behavior. 165. 105612–105612.
4.
Bray, Emily E., Stephanie McGrath, Gene E. Alexander, et al.. (2024). Characterizing dog cognitive aging using spontaneous problem-solving measures: development of a battery of tests from the Dog Aging Project. GeroScience. 47(1). 23–43. 1 indexed citations
5.
Gnanadesikan, Gitanjali E., et al.. (2023). Transposons in the Williams–Beuren Syndrome Critical Region are Associated with Social Behavior in Assistance Dogs. Behavior Genetics. 54(2). 196–211.
6.
Minty, Evan, Emily E. Bray, Karen Smith, et al.. (2023). Preventative Sensor-Based Remote Monitoring of the Diabetic Foot in Clinical Practice. Sensors. 23(15). 6712–6712. 10 indexed citations
7.
Alberghina, Daniela, Emily E. Bray, Daphna Buchsbaum, et al.. (2023). ManyDogs Project: A Big Team Science Approach to Investigating Canine Behavior and Cognition. 18. 59–77. 13 indexed citations
8.
Horschler, Daniel J., Emily E. Bray, Gitanjali E. Gnanadesikan, et al.. (2021). Dogs re-engage human partners when joint social play is interrupted: a behavioural signature of shared intentionality?. Animal Behaviour. 183. 159–168. 7 indexed citations
9.
Bray, Emily E., Gitanjali E. Gnanadesikan, Daniel J. Horschler, et al.. (2021). Early-emerging and highly heritable sensitivity to human communication in dogs. Current Biology. 31(14). 3132–3136.e5. 39 indexed citations
10.
Hall, Nathaniel J., Angie M. Johnston, Emily E. Bray, et al.. (2021). Working Dog Training for the Twenty-First Century. Frontiers in Veterinary Science. 8. 646022–646022. 36 indexed citations
11.
Salomons, Hannah, Margaret K. Callahan, Kerinne Levy, et al.. (2021). Cooperative Communication with Humans Evolved to Emerge Early in Domestic Dogs. Current Biology. 31(14). 3137–3144.e11. 24 indexed citations
12.
Bray, Emily E., Cynthia M. Otto, Monique A. R. Udell, et al.. (2021). Enhancing the Selection and Performance of Working Dogs. Frontiers in Veterinary Science. 8. 644431–644431. 71 indexed citations
13.
Byrne, Molly, Emily E. Bray, Evan L. MacLean, & Angie M. Johnston. (2020). Evidence for win-stay-lose-shift in puppies and adult dogs.. Cognitive Science. 3 indexed citations
14.
Bray, Emily E., Margaret E. Gruen, Gitanjali E. Gnanadesikan, et al.. (2020). Dog cognitive development: a longitudinal study across the first 2 years of life. Animal Cognition. 24(2). 311–328. 45 indexed citations
15.
MacLean, Evan L. & Emily E. Bray. (2019). Ontogeny and Heritability of Cognitive and Behavioral Traits Linked to Success as a Military Working Dog. 1 indexed citations
16.
Bray, Emily E., Kerinne Levy, Brenda S. Kennedy, et al.. (2019). Predictive Models of Assistance Dog Training Outcomes Using the Canine Behavioral Assessment and Research Questionnaire and a Standardized Temperament Evaluation. Frontiers in Veterinary Science. 6. 49–49. 40 indexed citations
17.
Bray, Emily E., Mary D. Sammel, Dorothy L. Cheney, James A. Serpell, & Robert M. Seyfarth. (2017). Characterizing Early Maternal Style in a Population of Guide Dogs. Frontiers in Psychology. 8. 175–175. 30 indexed citations
18.
Bray, Emily E., Mary D. Sammel, Robert M. Seyfarth, James A. Serpell, & Dorothy L. Cheney. (2017). Temperament and problem solving in a population of adolescent guide dogs. Animal Cognition. 20(5). 923–939. 44 indexed citations
19.
Bray, Emily E., Evan L. MacLean, & Brian Hare. (2015). Increasing arousal enhances inhibitory control in calm but not excitable dogs. Animal Cognition. 18(6). 1317–1329. 68 indexed citations
20.
Bray, Emily E., Evan L. MacLean, & Brian Hare. (2013). Context specificity of inhibitory control in dogs. Animal Cognition. 17(1). 15–31. 122 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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