Industrial Management & Data Systems

2.6k papers and 82.9k indexed citations i.

About

The 2.6k papers published in Industrial Management & Data Systems in the last decades have received a total of 82.9k indexed citations. Papers published in Industrial Management & Data Systems usually cover Management Information Systems (933 papers), Strategy and Management (862 papers) and Sociology and Political Science (433 papers) specifically the topics of Technology Adoption and User Behaviour (407 papers), Quality and Supply Management (376 papers) and Digital Marketing and Social Media (338 papers). The most active scholars publishing in Industrial Management & Data Systems are Jörg Henseler, Geoffrey S. Hubona, Alain Yee‐Loong Chong, Ranjit Bose, Jenny Preece, Joe F. Hair, Kuan Yew Wong, Adriane B. Randolph, José L. Roldán and Gabriel Cepeda‐Carrión.

In The Last Decade

Fields of papers published in Industrial Management & Data Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Industrial Management & Data 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 published in Industrial Management & Data Systems.

Countries where authors publish in Industrial Management & Data Systems

Since Specialization
Citations

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