Chad E. Forbes

2.1k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Chad E. Forbes is a scholar working on Sociology and Political Science, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Chad E. Forbes has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sociology and Political Science, 11 papers in Social Psychology and 9 papers in Cognitive Neuroscience. Recurrent topics in Chad E. Forbes's work include Social and Intergroup Psychology (12 papers), Cultural Differences and Values (8 papers) and Psychology of Moral and Emotional Judgment (4 papers). Chad E. Forbes is often cited by papers focused on Social and Intergroup Psychology (12 papers), Cultural Differences and Values (8 papers) and Psychology of Moral and Emotional Judgment (4 papers). Chad E. Forbes collaborates with scholars based in United States, Canada and China. Chad E. Forbes's co-authors include Toni Schmader, Michael Johns, John J. B. Allen, Shen Zhang, Wendy Berry Mendes, Jordan Grafman, Christine L. Cox, Lee Ryan, Tessa V. West and Jeffrey Solomon and has published in prestigious journals such as Journal of Personality and Social Psychology, Psychological Review and Social Science & Medicine.

In The Last Decade

Chad E. Forbes

19 papers receiving 1.3k citations

Hit Papers

An integrated process mod... 2008 2026 2014 2020 2008 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chad E. Forbes 705 504 343 303 222 22 1.3k
Jennifer R. Steele 774 1.1× 511 1.0× 331 1.0× 302 1.0× 174 0.8× 39 1.4k
Jean‐Claude Croizet 843 1.2× 593 1.2× 328 1.0× 315 1.0× 130 0.6× 38 1.5k
Jin X. Goh 598 0.8× 450 0.9× 229 0.7× 211 0.7× 258 1.2× 26 1.2k
Deborah S. Mellott 1.1k 1.6× 796 1.6× 293 0.9× 212 0.7× 306 1.4× 5 1.7k
Andrew R. Todd 907 1.3× 789 1.6× 223 0.7× 158 0.5× 352 1.6× 35 1.6k
Elizabeth Page‐Gould 1.1k 1.6× 997 2.0× 323 0.9× 177 0.6× 330 1.5× 54 2.0k
Armand Chatard 511 0.7× 496 1.0× 262 0.8× 204 0.7× 170 0.8× 71 1.3k
Jason E. Plaks 959 1.4× 1.0k 2.0× 407 1.2× 128 0.4× 451 2.0× 56 1.8k
Silvia Galdi 562 0.8× 342 0.7× 163 0.5× 288 1.0× 141 0.6× 26 974
Sarah E. Martiny 437 0.6× 385 0.8× 195 0.6× 258 0.9× 67 0.3× 56 1.1k

Countries citing papers authored by Chad E. Forbes

Since Specialization
Citations

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

Fields of papers citing papers by Chad E. Forbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad E. Forbes

This figure shows the co-authorship network connecting the top 25 collaborators of Chad E. Forbes. A scholar is included among the top collaborators of Chad E. Forbes 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 Chad E. Forbes. Chad E. Forbes 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.
Shrader, Cho‐Hee, et al.. (2025). Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis. Journal of Medical Internet Research. 27. e76745–e76745. 1 indexed citations
4.
Liu, Mengting, et al.. (2023). Functional graph contrastive learning of hyperscanning EEG reveals emotional contagion evoked by stereotype-based stressors. Frontiers in Human Neuroscience. 17. 1298845–1298845. 2 indexed citations
5.
Liu, Mengting, et al.. (2022). Behavioral Studies Using Large-Scale Brain Networks – Methods and Validations. Frontiers in Human Neuroscience. 16. 875201–875201. 8 indexed citations
6.
Forbes, Chad E., et al.. (2021). Associations of regional racial attitudes with chronic illness in the United States. Social Science & Medicine. 281. 114077–114077. 7 indexed citations
7.
Forbes, Chad E., et al.. (2021). Fight or flight: The role of context on biased intergroup shooting behaviors.. Journal of Experimental Psychology General. 151(2). 437–454. 2 indexed citations
8.
Forbes, Chad E., et al.. (2015). Stereotype Threatening Contexts Enhance Encoding of Negative Feedback to Engender Underperformance and Anxiety. Social Cognition. 33(6). 605–625. 8 indexed citations
9.
Forbes, Chad E.. (2014). On social neuroscience methodologies and their applicability to group processes and intergroup relations. Group Processes & Intergroup Relations. 18(3). 348–365. 3 indexed citations
10.
Forbes, Chad E. & Jordan Grafman. (2013). Social neuroscience: the second phase. Frontiers in Human Neuroscience. 7. 20–20. 15 indexed citations
11.
Forbes, Chad E., Katherine A. Cameron, Jordan Grafman, et al.. (2012). Identifying temporal and causal contributions of neural processes underlying the Implicit Association Test (IAT). Frontiers in Human Neuroscience. 6. 320–320. 21 indexed citations
12.
Forbes, Chad E., Joshua Poore, Aron K. Barbey, et al.. (2011). BDNF Polymorphism–Dependent OFC and DLPFC Plasticity Differentially Moderates Implicit and Explicit Bias. Cerebral Cortex. 22(11). 2602–2609. 17 indexed citations
13.
Forbes, Chad E., Christine L. Cox, Toni Schmader, & Lee Ryan. (2011). Negative stereotype activation alters interaction between neural correlates of arousal, inhibition and cognitive control. Social Cognitive and Affective Neuroscience. 7(7). 771–781. 36 indexed citations
14.
Forbes, Chad E. & Toni Schmader. (2010). Retraining attitudes and stereotypes to affect motivation and cognitive capacity under stereotype threat.. Journal of Personality and Social Psychology. 99(5). 740–754. 89 indexed citations
15.
Forbes, Chad E.. (2009). Lessons Learned from a Clockwork Orange: How Retraining Implicit Attitudes and Stereotypes Affects Motivation and Performance under Stereotype Threat. UA Campus Repository (The University of Arizona). 1 indexed citations
16.
Schmader, Toni, Chad E. Forbes, Shen Zhang, & Wendy Berry Mendes. (2009). A Metacognitive Perspective on the Cognitive Deficits Experienced in Intellectually Threatening Environments. Personality and Social Psychology Bulletin. 35(5). 584–596. 55 indexed citations
17.
Schmader, Toni, Michael Johns, & Chad E. Forbes. (2008). An integrated process model of stereotype threat effects on performance.. Psychological Review. 115(2). 336–356. 1000 indexed citations breakdown →
18.
Ben‐Zeev, Talia, Seth Duncan, & Chad E. Forbes. (2004). Stereotypes and math performance. 235–249. 9 indexed citations
19.
Forbes, Chad E., et al.. (1976). A NEW DIRECTION FOR THE HIGHWAY PROGRAM. Transportation Research Record Journal of the Transportation Research Board.
20.
Forbes, Chad E., et al.. (1971). REDUCING MOTORIST INCONVENIENCE DUE TO MAINTENANCE OPERATIONS ON HIGH-VOLUME FREEWAYS. Highway Research Board Special Report. 1 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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