José M. Cortina

17.0k citations
87 papers · 12.4k indexed · 3 hit papers · h-index 37
Topics
Job Satisfaction and Organizational Behavior (17 papers)Meta-analysis and systematic reviews (11 papers)Psychometric Methodologies and Testing (8 papers)

In The Last Decade

José M. Cortina

84 papers receiving 11.5k citations

Hit Papers

What is coefficient alpha? An examination of theory and a...199320262004201519931996199310002.0k3.0k4.0k5.0k

Peers

José M. Cortina
Comparison fields: 5 of 211
  • Social Psychology 2.9k
  • Sociology and Political Science 2.6k
  • Organizational Behavior and Human Resource Management 2.4k
  • Clinical Psychology 2.2k
  • Experimental and Cognitive Psychology 1.4k
Replace Patricia Cohen with:
Patricia Cohen United States
Michael J. Zyphur Australia
Jason Williams United States
Michael Τ. Brannick United States
Richard E. Boyatzis United States
Piers Steel Canada
Chondra M. Lockwood United States
Michael E. Sobel United States
Helfried Moosbrugger Germany
Charles E. Lance United States
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Citations per field
00.5×12.4×
Patricia Cohen · 1×
Citations per year

Countries citing papers authored by José M. Cortina

Since Specialization
Citations

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

Fields of papers citing papers by José M. Cortina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Cortina. 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 José M. Cortina. The network helps show where José M. Cortina may publish in the future.

Co-authorship network of co-authors of José M. Cortina

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Cortina. A scholar is included among the top collaborators of José M. Cortina 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 José M. Cortina. José M. Cortina 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
#WorkIndexed citations
1 1
2 1
3 2
4 11
5 15
6 4
7 2
8 8
9 3
10 5
11 4
12 113
13 31
14 10
15 46
16 9
17 2
18 54
19 437
20 16

About José M. Cortina

José M. Cortina is a scholar working on Organizational Behavior and Human Resource Management, Applied Psychology and Statistics, Probability and Uncertainty, having authored 87 papers that have together received 12.4k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (17 papers), Meta-analysis and systematic reviews (11 papers) and Psychometric Methodologies and Testing (8 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (2.4k citations), Applied Psychology (884 citations) and Social Psychology (2.9k citations). José M. Cortina has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include William P. Dunlap, Michael J. Burke, Gilad Chen, Nicole M. Dudley, Karin A. Orvis, Eden B. King, Tine Köhler, Ronald S. Landis, Scott Tonidandel and Kate LaPort. Their work appears in journals such as Journal of Personality and Social Psychology, Psychological Bulletin and Academy of Management Review.

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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