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, China and Canada. Chad E. Forbes's co-authors include Toni Schmader, Michael Johns, John J. B. Allen, Wendy Berry Mendes, Shen Zhang, Jordan Grafman, Lee Ryan, Christine L. Cox, Katherine R. Thorson and Tessa V. West 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 model of stereotype threat effects ... 2008 2026 2014 2020 2008 250 500 750 1000

Peers

Chad E. Forbes
Comparison fields: 5 of 107
  • Sociology and Political Science 705
  • Social Psychology 504
  • Experimental and Cognitive Psychology 343
  • Gender Studies 303
  • Cognitive Neuroscience 222
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Citations per field, relative to Chad E. Forbes
Chad E. Forbes · 1×
Citations per year, relative to Chad E. Forbes
Chad E. Forbes · 1×

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
# Work Indexed citations
1 1
2 0
3 0
4 2
5 8
6 2
7 7
8 8
9 3
10 15
11 21
12 36
13 17
14 89
15
Lessons Learned from a Clockwork Orange: How Retraining Implicit Attitudes and Stereotypes Affects Motivation and Performance under Stereotype Threat
1
16 55
17
An integrated process model of stereotype threat effects on performance. breakdown →
1000
18 9
19
A NEW DIRECTION FOR THE HIGHWAY PROGRAM
0
20
REDUCING MOTORIST INCONVENIENCE DUE TO MAINTENANCE OPERATIONS ON HIGH-VOLUME FREEWAYS
1

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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