MIS Quarterly Executive

349 papers and 9.4k indexed citations i.

About

The 349 papers published in MIS Quarterly Executive in the last decades have received a total of 9.4k indexed citations. Papers published in MIS Quarterly Executive usually cover Management Information Systems (117 papers), Information Systems (50 papers) and Strategy and Management (25 papers) specifically the topics of Big Data and Business Intelligence (49 papers), Information Technology Governance and Strategy (43 papers) and Outsourcing and Supply Chain Management (22 papers). The most active scholars publishing in MIS Quarterly Executive are Jerry N. Luftman, Peter Weill, Yolande E. Chan, Mary C. Lacity, R. Ryan Nelson, Ephraim R. McLean, Rajkumar M. Kempaiah, Mary J. Culnan, Patrick McHugh and Leslie P. Willcocks.

In The Last Decade

Fields of papers published in MIS Quarterly Executive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in MIS Quarterly Executive. 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 MIS Quarterly Executive.

Countries where authors publish in MIS Quarterly Executive

Since Specialization
Citations

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