Information & Management

2.8k papers and 171.4k indexed citations i.

About

The 2.8k papers published in Information & Management in the last decades have received a total of 171.4k indexed citations. Papers published in Information & Management usually cover Sociology and Political Science (919 papers), Information Systems and Management (909 papers) and Management Information Systems (833 papers) specifically the topics of Technology Adoption and User Behaviour (873 papers), Digital Marketing and Social Media (569 papers) and Knowledge Management and Sharing (435 papers). The most active scholars publishing in Information & Management are Young‐Gul Kim, Patrick Y.K. Chau, Chitu Okoli, Suzanne D. Pawlowski, Chin‐Lung Hsu, Ji-Won Moon, Prashant Palvia, William R. King, Jen‐Her Wu and Hans van der Heijden.

In The Last Decade

Fields of papers published in Information & Management

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Information & 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 published in Information & Management.

Countries where authors publish in Information & Management

Since Specialization
Citations

This map shows the geographic impact of research published in Information & 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 published in Information & 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 & Management 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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