Human Systems Management

1.2k papers and 8.9k indexed citations i.

About

The 1.2k papers published in Human Systems Management in the last decades have received a total of 8.9k indexed citations. Papers published in Human Systems Management usually cover Strategy and Management (253 papers), Organizational Behavior and Human Resource Management (219 papers) and Management Science and Operations Research (158 papers) specifically the topics of Complex Systems and Decision Making (101 papers), Innovation and Knowledge Management (100 papers) and Job Satisfaction and Organizational Behavior (94 papers). The most active scholars publishing in Human Systems Management are Milan Zelený, Yan Luo, Priyanka Rastogi, Yehuda Baruch, Susan C. Schneider, Peter Checkland, John P. van Gigch, Leo L. Pipino, Thomas J. Murray and Geert Hofstede.

In The Last Decade

Fields of papers published in Human Systems Management

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Human Systems Management. 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 Systems Management.

Countries where authors publish in Human Systems Management

Since Specialization
Citations

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