Steven E. Scullen

2.0k citations
19 papers · 1.5k indexed · h-index 14

Steven E. Scullen

18 papers receiving 1.4k citations

Peers

Steven E. Scullen
Comparison fields: 5 of 108
  • Organizational Behavior and Human Resource Management 559
  • Applied Psychology 174
  • Social Psychology 408
  • Management Science and Operations Research 233
  • Experimental and Cognitive Psychology 177
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Citations per year

Countries citing papers authored by Steven E. Scullen

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Scullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Steven E. Scullen, 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 Steven E. Scullen Line = papers co-authored together Steven E. Scullen links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201629
2 20131
3 20124
4 20123
5 2005340
6 200560
7 200447
8 2003105
9 2002171
10 2002218
11 200217
12 200023
13 2000240
14 199921
15 199922
16
GENERALIZABLE BIOGRAPHICAL DATA VALIDITY CAN BE ACHIEVED WITHOUT AND KEYING MULTI-ORGANIZATIONAL DEVELOPMENT
19990
17 1998158
18 19972
19 199722

About Steven E. Scullen

Steven E. Scullen is a scholar working on Management Science and Operations Research, Organizational Behavior and Human Resource Management, General Decision Sciences, Statistics and Probability and Safety Research, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (6 papers), Job Satisfaction and Organizational Behavior (3 papers), Advanced Statistical Modeling Techniques (2 papers), Scheduling and Timetabling Solutions (2 papers), Employer Branding and e-HRM (2 papers), Innovation and Knowledge Management (2 papers), Economic and Environmental Valuation (1 paper) and Management and Organizational Studies (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (559 citations), Applied Psychology (174 citations), Social Psychology (408 citations), Management Science and Operations Research (233 citations) and Experimental and Cognitive Psychology (177 citations). Steven E. Scullen has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Michael K. Mount, Lynda Aiman‐Smith, Maynard Goff, Murray R. Barrick, James Rounds, Charles E. Lance, Steve H. Barr, Timothy A. Judge, Sarah A. Hezlett and Paul Bergey. Their work appears in journals such as Journal of Applied Psychology, Personnel Psychology, Psychological Methods, Organizational Research Methods and Journal of Management.

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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