Jeffrey A. Brooks

776 total citations
23 papers, 394 citations indexed

About

Jeffrey A. Brooks is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Jeffrey A. Brooks has authored 23 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 13 papers in Experimental and Cognitive Psychology and 7 papers in Social Psychology. Recurrent topics in Jeffrey A. Brooks's work include Face Recognition and Perception (14 papers), Evolutionary Psychology and Human Behavior (7 papers) and Psychology of Moral and Emotional Judgment (6 papers). Jeffrey A. Brooks is often cited by papers focused on Face Recognition and Perception (14 papers), Evolutionary Psychology and Human Behavior (7 papers) and Psychology of Moral and Emotional Judgment (6 papers). Jeffrey A. Brooks collaborates with scholars based in United States, United Kingdom and China. Jeffrey A. Brooks's co-authors include Jonathan B. Freeman, Ryan M. Stolier, Kristen A. Lindquist, Ajay B. Satpute, Maria Gendron, Holly Shablack, Junichi Chikazoe, Norihiro Sadato, Alan Cowen and Dacher Keltner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Current Directions in Psychological Science.

In The Last Decade

Jeffrey A. Brooks

20 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey A. Brooks United States 11 228 178 150 46 40 23 394
Monika Riegel Poland 10 154 0.7× 157 0.9× 119 0.8× 34 0.7× 54 1.4× 16 364
Jérôme Dokic France 14 305 1.3× 199 1.1× 191 1.3× 45 1.0× 33 0.8× 56 553
Matthew A. Bezdek United States 10 403 1.8× 156 0.9× 103 0.7× 54 1.2× 66 1.6× 15 611
Michał Olszanowski Poland 9 206 0.9× 168 0.9× 122 0.8× 39 0.8× 34 0.8× 17 353
Liuqing Wei China 8 189 0.8× 83 0.5× 146 1.0× 120 2.6× 42 1.1× 25 448
Nutankumar S. Thingujam India 8 183 0.8× 152 0.9× 125 0.8× 23 0.5× 18 0.5× 14 334
Mark Miller United Kingdom 7 238 1.0× 82 0.5× 118 0.8× 22 0.5× 27 0.7× 14 347
Christine E. Looser United States 6 384 1.7× 208 1.2× 277 1.8× 119 2.6× 33 0.8× 9 531
Yaling Deng China 7 102 0.4× 106 0.6× 92 0.6× 30 0.7× 65 1.6× 17 323
Mog Stapleton United Kingdom 4 236 1.0× 55 0.3× 172 1.1× 33 0.7× 19 0.5× 9 345

Countries citing papers authored by Jeffrey A. Brooks

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey A. Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Brooks. 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 Jeffrey A. Brooks. The network helps show where Jeffrey A. Brooks may publish in the future.

Co-authorship network of co-authors of Jeffrey A. Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey A. Brooks. A scholar is included among the top collaborators of Jeffrey A. Brooks 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 Jeffrey A. Brooks. Jeffrey A. Brooks 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
1.
Brooks, Jeffrey A., Lauren Kim, Dacher Keltner, et al.. (2024). Deep learning reveals what facial expressions mean to people in different cultures. iScience. 27(3). 109175–109175. 6 indexed citations
2.
Cowen, Alan, Jeffrey A. Brooks, Gautam Prasad, et al.. (2024). How emotion is experienced and expressed in multiple cultures: a large-scale experiment across North America, Europe, and Japan. Frontiers in Psychology. 15. 1350631–1350631. 10 indexed citations
3.
Atzil, Shir, Ajay B. Satpute, Jiahe Zhang, et al.. (2023). The impact of sociality and affective valence on brain activation: A meta-analysis. NeuroImage. 268. 119879–119879. 8 indexed citations
4.
Keltner, Dacher, Jeffrey A. Brooks, & Alan Cowen. (2023). Semantic Space Theory: Data-Driven Insights Into Basic Emotions. Current Directions in Psychological Science. 32(3). 242–249. 12 indexed citations
5.
Tzirakis, Panagiotis, Alice Baird, Jeffrey A. Brooks, et al.. (2023). Large-Scale Nonverbal Vocalization Detection Using Transformers. 1–5. 6 indexed citations
6.
Baird, Alice, Panagiotis Tzirakis, Jeffrey A. Brooks, et al.. (2022). The ACII 2022 Affective Vocal Bursts Workshop & Competition. 1–5. 7 indexed citations
7.
Brooks, Jeffrey A., Panagiotis Tzirakis, Alice Baird, et al.. (2022). Deep learning reveals what vocal bursts express in different cultures. Nature Human Behaviour. 7(2). 240–250. 15 indexed citations
8.
Lane, Stephanie, et al.. (2022). Unsupervised classification reveals consistency and degeneracy in neural network patterns of emotion. Social Cognitive and Affective Neuroscience. 17(11). 995–1006. 15 indexed citations
9.
Brooks, Jeffrey A., Ryan M. Stolier, & Jonathan B. Freeman. (2020). Computational approaches to the neuroscience of social perception. Social Cognitive and Affective Neuroscience. 16(8). 827–837. 6 indexed citations
10.
Brooks, Jeffrey A., et al.. (2020). Stereotypes bias face perception via orbitofrontal–fusiform cortical interaction. Social Cognitive and Affective Neuroscience. 16(3). 302–314. 8 indexed citations
11.
Freeman, Jonathan B., Ryan M. Stolier, & Jeffrey A. Brooks. (2019). Dynamic interactive theory as a domain-general account of social perception. PubMed. 61. 237–287. 45 indexed citations
12.
Brooks, Jeffrey A. & Jonathan B. Freeman. (2018). Conceptual knowledge predicts the representational structure of facial emotion perception. Nature Human Behaviour. 2(8). 581–591. 59 indexed citations
13.
Freeman, Jonathan B., Ryan M. Stolier, Jeffrey A. Brooks, & Benjamin Stillerman. (2018). The neural representational geometry of social perception. Current Opinion in Psychology. 24. 83–91. 16 indexed citations
14.
Brooks, Jeffrey A., Ryan M. Stolier, & Jonathan B. Freeman. (2018). Stereotypes Bias Visual Prototypes for Sex and Emotion Categories. Social Cognition. 36(5). 481–493. 22 indexed citations
15.
Brooks, Jeffrey A. & Jonathan B. Freeman. (2017). Neuroimaging of person perception: A social-visual interface. Neuroscience Letters. 693. 40–43. 10 indexed citations
16.
Brooks, Jeffrey A., et al.. (2016). The role of language in the experience and perception of emotion: a neuroimaging meta-analysis. Social Cognitive and Affective Neuroscience. 12(2). nsw121–nsw121. 89 indexed citations
17.
Brooks, Jeffrey A., et al.. (2004). Performance of edge-based multicast overlay trees for real time MPEG video distribution.. 502–507.
18.
Brooks, Jeffrey A., et al.. (2003). Creating Edge-to-Edge Multicast Overlay Trees for Real Time Video Distribution.. International Conference on Internet Computing. 29(4). 371–377. 1 indexed citations
19.
Brooks, Jeffrey A., et al.. (1994). Broadcasting multiple messages in a grid. Discrete Applied Mathematics. 53(1-3). 321–336. 7 indexed citations
20.
Brooks, Jeffrey A.. (1989). A General Recurrence Relation for Reflections in Multiple Glass Plates. ˜The œFibonacci quarterly. 27(3). 267–271.

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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