Kevin D. Carlson

3.0k citations
20 papers · 2.3k indexed · 3 hit papers · h-index 13

Kevin D. Carlson

18 papers receiving 2.1k citations

Hit Papers

Statistical control in correlational studies: 10 essentia...7222010202620152020200400600

Peers

Kevin D. Carlson
Comparison fields: 5 of 149
  • Organizational Behavior and Human Resource Management 953
  • Applied Psychology 158
  • Social Psychology 557
  • Gender Studies 187
  • Information Systems and Management 126
Replace Lois James with:
Lois James United States
Frank A. Bosco United States
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Ioannis Nikolaou Greece
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William K. Balzer United States
Ashlea C. Troth Australia
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Citations per field
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Citations per year

Countries citing papers authored by Kevin D. Carlson

Since Specialization
Citations

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

Fields of papers citing papers by Kevin D. Carlson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin D. Carlson. 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 Kevin D. Carlson. The network helps show where Kevin D. Carlson may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Kevin D. Carlson, 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 Kevin D. Carlson Line = papers co-authored together Kevin D. Carlson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201613
2
Statistical control in correlational studies: 10 essential recommendations for organizational researchersbreakdown →
2015722
3 20140
4 20131
5 201354
6 20122
7
The Illusion of Statistical Controlbreakdown →
2011508
8 201095
9
Understanding the Impact of Convergent Validity on Research Resultsbreakdown →
2010445
10 201048
11 200911
12 200346
13 200320
14 200318
15 200270
16 20002
17 19994
18 1999169
19 199922
20
GENERALIZABLE BIOGRAPHICAL DATA VALIDITY CAN BE ACHIEVED WITHOUT AND KEYING MULTI-ORGANIZATIONAL DEVELOPMENT
19990

About Kevin D. Carlson

Kevin D. Carlson is a scholar working on Organizational Behavior and Human Resource Management, Applied Psychology and Strategy and Management, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (5 papers), Employer Branding and e-HRM (5 papers), Customer Service Quality and Loyalty (4 papers), Behavioral Health and Interventions (3 papers), Innovation and Knowledge Management (3 papers), Qualitative Comparative Analysis Research (2 papers), Management and Organizational Studies (2 papers) and Psychometric Methodologies and Testing (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (953 citations), Applied Psychology (158 citations) and Social Psychology (557 citations). Kevin D. Carlson has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Jinpei Wu, Andrew O. Herdman, Thomas E. Becker, Guclu Atinc, James A. Breaugh, Paul E. Spector, Jeffrey R. Edwards, Frank L. Schmidt, Mary L. Connerley and Peter B. Kim. Their work appears in journals such as Journal of Applied Psychology, Journal of Management and Journal of Organizational Behavior.

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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