Human Resource Management Review

1.0k papers and 70.2k indexed citations i.

About

The 1.0k papers published in Human Resource Management Review in the last decades have received a total of 70.2k indexed citations. Papers published in Human Resource Management Review usually cover Organizational Behavior and Human Resource Management (628 papers), Social Psychology (215 papers) and Sociology and Political Science (211 papers) specifically the topics of Job Satisfaction and Organizational Behavior (376 papers), Gender Diversity and Inequality (121 papers) and Management and Organizational Studies (98 papers). The most active scholars publishing in Human Resource Management Review are John P. Meyer, Natalie J. Allen, Raymond A. Noe, Howard M. Weiss, Sheng Wang, Dieter Zapf, John E. Delery, Teresa M. Amabile, Paul E. Spector and Nicky Dries.

In The Last Decade

Fields of papers published in Human Resource Management Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Human Resource Management Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Human Resource Management Review.

Countries where authors publish in Human Resource Management Review

Since Specialization
Citations

This map shows the geographic impact of research published in Human Resource Management Review. 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 papers published in Human Resource Management Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Human Resource Management Review more than expected).

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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2025