Information Systems

963.0k papers and 9.8M indexed citations i.

About

963.0k papers covering Information Systems have received a total of 9.8M indexed citations since 1950. Papers on subfields are most often about the specific topic of Software Engineering Research, Cloud Computing and Resource Management and Blockchain Technology Applications and Security and also cover the fields of Artificial Intelligence, Computer Networks and Communications and Education. Papers citing papers on subfields are usually about Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. Some of the most active scholars covering Information Systems are Tom Fawcett, Leo Breiman, Ross Levine, J. R. Quinlan, Krassimir Atanassov, Simplice Asongu, George Miller, Albert Bandura, Rajkumar Buyya and Jiawei Han.

In The Last Decade

Fields of papers citing papers about Information Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish papers about Information Systems

Since Specialization
Citations

This map shows the geographic impact of research in Information Systems. 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 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 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