Joshua Correll

8.8k total citations · 3 hit papers
63 papers, 5.4k citations indexed

About

Joshua Correll is a scholar working on Sociology and Political Science, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Joshua Correll has authored 63 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Sociology and Political Science, 32 papers in Cognitive Neuroscience and 26 papers in Social Psychology. Recurrent topics in Joshua Correll's work include Social and Intergroup Psychology (39 papers), Cultural Differences and Values (20 papers) and Evolutionary Psychology and Human Behavior (16 papers). Joshua Correll is often cited by papers focused on Social and Intergroup Psychology (39 papers), Cultural Differences and Values (20 papers) and Evolutionary Psychology and Human Behavior (16 papers). Joshua Correll collaborates with scholars based in United States, Portugal and Canada. Joshua Correll's co-authors include Bernd Wittenbrink, Bernadette Park, S. Debbie, Charles M. Judd, Melody Sadler, Steven J. Spencer, Mark P. Zanna, Tiffany A. Ito, Etsuko Hoshino‐Browne and Christian H. Jordan and has published in prestigious journals such as Journal of Personality and Social Psychology, NeuroImage and Trends in Cognitive Sciences.

In The Last Decade

Joshua Correll

58 papers receiving 5.1k citations

Hit Papers

The Chicago face database: A free stimu... 2002 2026 2010 2018 2015 2002 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Correll United States 29 3.1k 1.8k 1.8k 1.2k 676 63 5.4k
Bernd Wittenbrink United States 24 3.8k 1.2× 2.2k 1.2× 1.7k 1.0× 1.0k 0.9× 538 0.8× 33 5.5k
Jennifer L. Eberhardt United States 25 3.2k 1.0× 1.5k 0.9× 1.6k 0.9× 808 0.7× 631 0.9× 53 5.7k
Jay J. Van Bavel United States 43 3.5k 1.1× 2.0k 1.1× 2.6k 1.5× 1.0k 0.9× 444 0.7× 92 6.5k
Agneta H. Fischer Netherlands 51 3.3k 1.1× 4.6k 2.6× 2.5k 1.4× 2.4k 2.0× 228 0.3× 145 9.1k
E. Ashby Plant United States 43 4.3k 1.4× 3.3k 1.8× 1.4k 0.8× 1.2k 1.0× 407 0.6× 96 7.7k
Kerry Kawakami Canada 29 4.8k 1.5× 3.2k 1.8× 1.3k 0.8× 832 0.7× 229 0.3× 61 6.7k
Dana R. Carney United States 23 2.0k 0.6× 1.4k 0.7× 679 0.4× 683 0.6× 176 0.3× 48 4.1k
Anne Maass Italy 46 3.6k 1.2× 2.6k 1.5× 1.1k 0.6× 1.0k 0.9× 156 0.2× 135 6.4k
Kurt Hugenberg United States 40 2.6k 0.8× 2.2k 1.2× 3.2k 1.8× 2.4k 2.1× 72 0.1× 124 5.8k
Steven Penrod United States 43 1.6k 0.5× 3.0k 1.7× 3.3k 1.9× 525 0.5× 250 0.4× 137 6.8k

Countries citing papers authored by Joshua Correll

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Correll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua Correll. 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 Joshua Correll. The network helps show where Joshua Correll may publish in the future.

Co-authorship network of co-authors of Joshua Correll

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Correll. A scholar is included among the top collaborators of Joshua Correll 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 Joshua Correll. Joshua Correll 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.
Correll, Joshua, et al.. (2025). The mental representation of ingroup and outgroup faces.. Journal of Personality and Social Psychology. 129(1). 42–70.
2.
Correll, Joshua, et al.. (2024). Nonlinear relationships between eye gaze and recognition accuracy for ethnic ingroup and outgroup faces.. Journal of Personality and Social Psychology. 127(3). 518–536.
3.
Correll, Joshua, et al.. (2024). Examining the Impact of Social and Perceptual Encoding Strategies on the Cross‐Race Recognition Deficit. European Journal of Social Psychology. 55(1). 37–53.
5.
Correll, Joshua, et al.. (2023). Examining the Contribution of Physical Cues for Same- and Cross-Race Face Individuation. Personality and Social Psychology Bulletin. 50(5). 694–714. 1 indexed citations
6.
Wittenbrink, Bernd, et al.. (2021). The India Face Set: International and Cultural Boundaries Impact Face Impressions and Perceptions of Category Membership. Frontiers in Psychology. 12. 627678–627678. 32 indexed citations
7.
Correll, Joshua, et al.. (2020). Beyond stereotypes: The complexity of attention to racial out‐group faces. 4(2). 55–74. 5 indexed citations
8.
Correll, Joshua, et al.. (2020). Avoid Cohen’s ‘Small’, ‘Medium’, and ‘Large’ for Power Analysis. Trends in Cognitive Sciences. 24(3). 200–207. 76 indexed citations
9.
Bhandari, Siddharth, Matthew R. Hallowell, & Joshua Correll. (2019). Making construction safety training interesting: A field-based quasi-experiment to test the relationship between emotional arousal and situational interest among adult learners. Safety Science. 117. 58–70. 67 indexed citations
10.
Debbie, S., Joshua Correll, & Bernd Wittenbrink. (2018). The effects of category and physical features on stereotyping and evaluation. Journal of Experimental Social Psychology. 79. 42–50. 10 indexed citations
11.
Wittenbrink, Bernd, et al.. (2018). When Practice Fails to Reduce Racial Bias on the Decision to Shoot: The Case of Cognitive Load.. OSF Preprints (OSF Preprints).
12.
Debbie, S., et al.. (2017). A Social Scientific Approach toward Understanding Racial Disparities in Police Shooting: Data from the Department of Justice (1980–2000). Journal of Social Issues. 73(4). 701–722. 63 indexed citations
13.
Cloutier, Jasmin, et al.. (2016). Brain Network Activity During Face Perception: The Impact of Perceptual Familiarity and Individual Differences in Childhood Experience. Cerebral Cortex. 27(9). 4326–4338. 16 indexed citations
14.
Ito, Tiffany A., Naomi P. Friedman, Bruce D. Bartholow, et al.. (2015). Toward a comprehensive understanding of executive cognitive function in implicit racial bias.. Journal of Personality and Social Psychology. 108(2). 187–218. 101 indexed citations
15.
Correll, Joshua, Bernd Wittenbrink, Matthew T. Crawford, & Melody Sadler. (2015). Stereotypic vision: How stereotypes disambiguate visual stimuli.. Journal of Personality and Social Psychology. 108(2). 219–233. 75 indexed citations
16.
Cardenas‐Iniguez, Carlos, et al.. (2015). The impact of motivation on race-based impression formation. NeuroImage. 124(Pt A). 1–7. 19 indexed citations
17.
Davis, Megan M., et al.. (2015). Childhood contact predicts hemispheric asymmetry in cross-race face processing. Psychonomic Bulletin & Review. 23(3). 824–830. 8 indexed citations
18.
Correll, Joshua, et al.. (2014). On the flexibility of attention to race. Journal of Experimental Social Psychology. 55. 74–79. 11 indexed citations
19.
Correll, Joshua, et al.. (2010). Dangerous enough: Moderating racial bias with contextual threat cues. Journal of Experimental Social Psychology. 47(1). 184–189. 99 indexed citations
20.
Decety, Jean, et al.. (2009). The Blame Game: The Effect of Responsibility and Social Stigma on Empathy for Pain. Journal of Cognitive Neuroscience. 22(5). 985–997. 192 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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