Scott Highhouse

9.3k total citations · 3 hit papers
106 papers, 6.6k citations indexed

About

Scott Highhouse is a scholar working on Organizational Behavior and Human Resource Management, General Decision Sciences and Sociology and Political Science. According to data from OpenAlex, Scott Highhouse has authored 106 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Organizational Behavior and Human Resource Management, 28 papers in General Decision Sciences and 27 papers in Sociology and Political Science. Recurrent topics in Scott Highhouse's work include Decision-Making and Behavioral Economics (28 papers), Experimental Behavioral Economics Studies (15 papers) and Social and Intergroup Psychology (15 papers). Scott Highhouse is often cited by papers focused on Decision-Making and Behavioral Economics (28 papers), Experimental Behavioral Economics Studies (15 papers) and Social and Intergroup Psychology (15 papers). Scott Highhouse collaborates with scholars based in United States, Belgium and Canada. Scott Highhouse's co-authors include Filip Lievens, Dennis Doverspike, Robert M. Guion, Evan F. Sinar, Margaret E. Brooks, Michael J. Zickar, Jerel E. Slaughter, Ian S. Little, Don C. Zhang and David C. Mohr and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Psychology and Journal of Management.

In The Last Decade

Scott Highhouse

104 papers receiving 6.1k citations

Hit Papers

Using Multivariate Statistics 2003 2026 2010 2018 2015 2003 2003 250 500 750 1000

Peers

Scott Highhouse
Comparison fields: 5 of 176
  • Organizational Behavior and Human Resource Management 2.8k
  • Sociology and Political Science 1.5k
  • Clinical Psychology 1.1k
  • Social Psychology 1.1k
  • Strategy and Management 1.0k
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Citations per field, relative to Scott Highhouse
Scott Highhouse · 1×
Citations per year, relative to Scott Highhouse
Scott Highhouse · 1×

Countries citing papers authored by Scott Highhouse

Since Specialization
Citations

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

Fields of papers citing papers by Scott Highhouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Highhouse. 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 Scott Highhouse. The network helps show where Scott Highhouse may publish in the future.

Co-authorship network of co-authors of Scott Highhouse

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Highhouse. A scholar is included among the top collaborators of Scott Highhouse 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 Scott Highhouse. Scott Highhouse 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 30
3 3
4 9
5 56
6
Using Multivariate Statistics breakdown →
1006
7 59
8 86
9 146
10 250
11 32
12 110
13
THE RELATION OF INSTRUMENTAL and SYMBOLIC ATTRIBUTES TO A COMPANY'S ATTRACTIVENESS AS AN EMPLOYER breakdown →
609
14 16
15 11
16 1
17 6
18 58
19 34
20 35

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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