Chad E. Forbes

768 citations
15 papers · 493 · h-index 10

Impact in

Papers in

    • Neural and Behavioral Psychology Studies 6
    • Functional Brain Connectivity Studies 3
    • Neural dynamics and brain function 2
    • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 4
    • Mental Health Research Topics 3
    • Cognitive Abilities and Testing 2

Chad E. Forbes

15 papers receiving 489 citations

Peers

Chad E. Forbes
Comparison fields: 5 of 80
  • Cognitive Neuroscience 247
  • Experimental and Cognitive Psychology 104
  • Social Psychology 139
  • Behavioral Neuroscience 22
  • Applied Psychology 19
Replace Pingyuan Gong with:
Pingyuan Gong China
Meg Waraczynski United States
Anne Botzung France
Wu Jeong Hwang South Korea
Marie K. Krug United States
Koray Başar Türkiye
Lisette J. van der Knaap Netherlands
Mikael Rubin United States
Nora T. Walter Germany
Chad E. Forbes relative to Pingyuan Gong China Pingyuan Gong's profile →
Citations per field
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Pingyuan Gong · 1×
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 20 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

15 of 15 papers shown
#Work
1 2010248
2 201474
3 201449
4 201426
5 201415
6 201414
7 201613
8 201813
9 202011
10 20179
11 20219
12 20225
13 20233
14 20203
15 20251

About Chad E. Forbes

Chad E. Forbes is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Sociology and Political Science and Epidemiology, having authored 15 papers that have together received 493 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (6 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Social and Intergroup Psychology (4 papers), Mental Health Research Topics (3 papers), Functional Brain Connectivity Studies (3 papers), Cognitive Abilities and Testing (2 papers), Neural dynamics and brain function (2 papers) and Cultural Differences and Values (2 papers). The work is most often cited by research in Cognitive Neuroscience (247 citations), Experimental and Cognitive Psychology (104 citations), Social Psychology (139 citations), Behavioral Neuroscience (22 citations) and Applied Psychology (19 citations). Chad E. Forbes has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Jordan Grafman, Jordan B. Leitner, Frank Krüeger, Aron K. Barbey, Joshua Poore, Jeffrey Solomon, Roberto Colom, David Goldman, Mengting Liu and Eric Hehman. Their work appears in journals such as Social Cognitive and Affective Neuroscience, Journal of Cognitive Neuroscience, iScience, NeuroImage and Journal of Neuroscience Psychology and Economics.

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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