Scott B. Dust

1.7k citations
41 papers · 1.2k · h-index 17

Impact in

Papers in

Scott B. Dust

36 papers receiving 1.2k citations

Peers

Scott B. Dust
Comparison fields: 5 of 68
  • Organizational Behavior and Human Resource Management 790
  • Information Systems and Management 157
  • Social Psychology 346
  • Demography 199
  • Applied Psychology 62
Replace Kohyar Kiazad with:
Kohyar Kiazad Australia
Angela J. Xu China
Fauzia Syed Pakistan
Kristina Marie Workman United States
Andrew Li United States
Brian Glibkowski United States
Ted A. Paterson United States
Robert W. Renn United States
Bill George United States
Scott B. Dust relative to Kohyar Kiazad Australia Kohyar Kiazad's profile →
Citations per field
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Kohyar Kiazad · 1×
Citations per year

Countries citing papers authored by Scott B. Dust

Since Specialization
Citations

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

Fields of papers citing papers by Scott B. Dust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott B. Dust, 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 Scott B. Dust Line = papers co-authored together Scott B. Dust links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013176
2 2014146
3 2018140
4 2019117
5 2013116
6 202185
7 201774
8 202066
9 202132
10 202027
11 201923
12 201920
13 201520
14 202019
15 201819
16 201819
17 202318
18 201816
19 202216
20 202111

About Scott B. Dust

Scott B. Dust is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology, Sociology and Political Science, Clinical Psychology and Experimental and Cognitive Psychology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (24 papers), Emotional Intelligence and Performance (6 papers), Personality Traits and Psychology (5 papers), Management and Organizational Studies (4 papers), Cultural Differences and Values (4 papers), Behavioral Health and Interventions (3 papers), Emotional Labor in Professions (3 papers) and Gender Diversity and Inequality (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (790 citations), Information Systems and Management (157 citations), Social Psychology (346 citations), Demography (199 citations) and Applied Psychology (62 citations). Scott B. Dust has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Christian J. Resick, Mary B. Mawritz, Jonathan C. Ziegert, Minya Xu, Haiyang Liu, Marco S. DiRenzo, Xin Qin, Jaclyn Margolis, Rebecca L. Greenbaum and Yueting Ji. Their work appears in journals such as Journal of Applied Psychology, The Journal of Social Psychology, Journal of Organizational Behavior, The Leadership Quarterly and Journal of Business Research.

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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