Journal of Cases on Information Technology

360 papers and 1.5k indexed citations i.

About

The 360 papers published in Journal of Cases on Information Technology in the last decades have received a total of 1.5k indexed citations. Papers published in Journal of Cases on Information Technology usually cover Information Systems (100 papers), Management Information Systems (78 papers) and Sociology and Political Science (45 papers) specifically the topics of Information Technology Governance and Strategy (35 papers), ERP Systems Implementation and Impact (28 papers) and Big Data and Business Intelligence (22 papers). The most active scholars publishing in Journal of Cases on Information Technology are Deb Sledgianowski, Jerry N. Luftman, Tom Butler, Audrey Grace, Henry Kim, Marek Laskowski, Yair Levy, J. Castells, Ernesto Redondo Domínguez and David Fonseca.

In The Last Decade

Fields of papers published in Journal of Cases on Information Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Cases on Information Technology. 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 Journal of Cases on Information Technology.

Countries where authors publish in Journal of Cases on Information Technology

Since Specialization
Citations

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