Chad E. Forbes

19 papers receiving 1.3k citations

Chad E. Forbes's Hit Papers

An integrated process model of stereotype threat effects on performance. 2008 · 1000 citations
10000+6+12Years since publication2505007501000

Peers

Chad E. Forbes
Comparison fields: 5 of 107
  • Neuropsychology and Physiological Psychology 57
  • Applied Psychology 188
  • Gender Studies 303
  • Experimental and Cognitive Psychology 343
  • Social Psychology 504
Replace Jean‐Claude Croizet with:
Jean‐Claude Croizet France
Lauren E. Duncan United States
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Citations per year

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-authors

The 25 scholars most cited alongside Chad E. Forbes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chad E. Forbes Line = papers co-authored together Chad E. Forbes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An integrated process model of stereotype threat effects on performance.
Hit paper breakdown →
20081000
2 201089
3 200955
4 200850
5 201136
6 201221
7 201918
8 201117
9 201315
10 20049
11 20228
12 20158
13 20217
14 20143
15 20212
16 20232
17
REDUCING MOTORIST INCONVENIENCE DUE TO MAINTENANCE OPERATIONS ON HIGH-VOLUME FREEWAYS
19711
18 20251
19
Lessons Learned from a Clockwork Orange: How Retraining Implicit Attitudes and Stereotypes Affects Motivation and Performance under Stereotype Threat
20091
20
A NEW DIRECTION FOR THE HIGHWAY PROGRAM
19760

About Chad E. Forbes

Chad E. Forbes is a scholar working on Sociology and Political Science, Social Psychology, Cognitive Neuroscience, Experimental and Cognitive Psychology and Applied Psychology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Social and Intergroup Psychology (12 papers), Cultural Differences and Values (8 papers), Psychology of Moral and Emotional Judgment (4 papers), Behavioral Health and Interventions (4 papers), Mental Health Research Topics (3 papers), Education, Achievement, and Giftedness (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (57 citations), Applied Psychology (188 citations), Gender Studies (303 citations), Experimental and Cognitive Psychology (343 citations) and Social Psychology (504 citations). Chad E. Forbes has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Toni Schmader, Michael Johns, John J. B. Allen, Wendy Berry Mendes, Shen Zhang, Jordan Grafman, Lee Ryan, Christine L. Cox, Aron K. Barbey and Katherine R. Thorson. Their work appears in journals such as Frontiers in Human Neuroscience, Social Cognitive and Affective Neuroscience, Cortex, Personality and Social Psychology Bulletin and Psychological Review.

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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