Management Learning

1.1k papers and 34.2k indexed citations
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About

The 1.1k papers published in Management Learning in the last decades have received a total of 34.2k indexed citations. Papers published in Management Learning usually cover Organizational Behavior and Human Resource Management (734 papers), Strategy and Management (180 papers) and Sociology and Political Science (178 papers) specifically the topics of Management and Organizational Studies (621 papers), Organizational Learning and Leadership (232 papers) and Innovation and Knowledge Management (150 papers). The most active scholars publishing in Management Learning are Ann L. Cunliffe, Silvia Gherardi, Jason Cope, Michael Reynolds, Joseph A. Raelin, Stacy W. Gray, Bente Elkjær, Andrew Sturdy, Davide Nicolini and Russ Vince.

In The Last Decade

Management Learning

952 papers receiving 30.3k citations

Fields of papers published in Management Learning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Management Learning. 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 Management Learning.

Countries where authors publish in Management Learning

Since Specialization
Citations

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