Personnel Psychology

Papers
(The H4-Index of Personnel Psychology is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Issue Information78
Identifying the structure of within‐team variance in ratings of team constructs67
Handbook on HR Process ResearchSandars, K., Yang, H., & Charmi, P. (Eds.). (2021, p. 224) Edward Elgar Publishing, $46.52 paperback58
Work‐family research: A review and next steps53
Armstrong's Essential Skills for People Professionals: A Complete Guide for HR Practitioners43
Designing Exceptional Organizational Cultures: How to develop companies where employees thrive, by JamieJacobs and HemaCrockett, Kogan Page, 2021, 232 pages, $29.4941
Affiliation‐based hiring in startups and the origins of organizational diversity39
Gender, Network Recall, and Structural Holes36
Begin With You: Invest in Your Mental Well‐Being and Satisfaction at Work36
The many faces of entrepreneurial loneliness35
Adapting psychological tests and measurement instruments for cross‐cultural research: An introduction (1st Edition). VladimirHedrihRoutledge Publications, Inc.2019, 202 pages, 37.56 USD, eBook35
Positive organizational behaviour: A reflective approach. MiguelPina e Cunha (et al.). New York, NY: Routledge Taylor & Francis Group, 2020, 568 pages, $150.00, hardcover. ISBN 978113829309031
Issue Information25
Issue Information24
Actions define a character: Assessment centers as behavior‐focused personality measures23
Anticipated Reviews*.23
Issue Information22
22
Steven G. Rogelberg. The surprising science of meetings: How you can lead your team to peak performance. Oxford University Press, 2019, 180 pages, $24.95 hardcover22
Human resource management: A very short introduction By AdrianWilkinson, Oxford, UK: Oxford University Press202221
List of Ad‐Hoc Reviewers for Personnel Psychology21
The social process of coping with work‐related stressors online: A machine learning and interpretive data science approach21
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