Information Systems and Management

375.9k papers and 7.1M indexed citations

About

375.9k papers covering Information Systems and Management have received a total of 7.1M indexed citations since 1950. Papers on subfields are most often about the specific topic of Technology Adoption and User Behaviour, Business and Management Studies and Scientific Computing and Data Management and also cover the fields of Sociology and Political Science, Education and Information Systems. Papers citing papers on subfields are usually about Sociology and Political Science, Marketing and Organizational Behavior and Human Resource Management. Some of the most active scholars covering Information Systems and Management are Fred D. Davis, Viswanath Venkatesh, Marko Sarstedt, Richard P. Bagozzi, Christian M. Ringle, Shelby D. Hunt, Venkatesh, Miguel Caldas, Linda Klebe Treviño and Anol Bhattacherjee.

In The Last Decade

Information Systems and Management

69.6k papers receiving 708.4k citations

Countries where authors publish papers about Information Systems and Management

Since Specialization
Citations

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

Fields of papers citing papers about Information Systems and Management

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers covering Information Systems and 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 covering Information Systems and Management.

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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2026