William E. Beane

587 citations
9 papers · 447 · h-index 6

Impact in

Papers in

William E. Beane

9 papers receiving 395 citations

Peers

William E. Beane
Comparison fields: 5 of 70
  • General Psychology 32
  • Applied Psychology 63
  • Experimental and Cognitive Psychology 127
  • Social Psychology 135
  • Statistics, Probability and Uncertainty 41
Replace Egerton L. Ballachey with:
Egerton L. Ballachey United States
John H. Rohrer United States
Dana Bramel United States
Linda A. Reed
Michael McCarrey Canada
Joseph Weitz United States
Jeffrey M. Cucina United States
Charlene Christie United States
M. Brewster Smith United States
Christian M. End United States
William E. Beane relative to Egerton L. Ballachey United States Egerton L. Ballachey's profile →
Citations per field
00.5×7.5×
Egerton L. Ballachey · 1×
Citations per year

Countries citing papers authored by William E. Beane

Since Specialization
Citations

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

Fields of papers citing papers by William E. Beane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside William E. Beane, 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 William E. Beane Line = papers co-authored together William E. Beane links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1980197
2 197869
3 198058
4 198147
5 198040
6 197126
7
The effects of belief similarity and ethnicity on liking and attributions for performance
19785
8 19814
9 19801

About William E. Beane

William E. Beane is a scholar working on Experimental and Cognitive Psychology, Marketing, Applied Psychology, Social Psychology and Clinical Psychology, having authored 9 papers that have together received 447 indexed citations. Recurring topics across this work include Evolutionary Psychology and Human Behavior (2 papers), Creativity in Education and Neuroscience (2 papers), Consumer Behavior in Brand Consumption and Identification (2 papers), Decision-Making and Behavioral Economics (1 paper), Cultural Differences and Values (1 paper), Behavioral Health and Interventions (1 paper), Career Development and Diversity (1 paper) and Eating Disorders and Behaviors (1 paper). The work is most often cited by research in General Psychology (32 citations), Applied Psychology (63 citations), Experimental and Cognitive Psychology (127 citations), Social Psychology (135 citations) and Statistics, Probability and Uncertainty (41 citations). William E. Beane has collaborated with scholars based in United States. Frequent co-authors include G. William Lucker, Robert L. Helmreich, Karen A. Matthews, Janet T. Spence, Walter G. Stephan, Kenneth E. Guire and James H. Korn. Their work appears in journals such as Journal of Personality and Social Psychology, The Journal of Psychology, Journal of Educational Psychology, Evaluation and Program Planning and Personality and Social Psychology Bulletin.

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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