Journal of Information Technology Teaching Cases

212 papers and 742 indexed citations i.

About

The 212 papers published in Journal of Information Technology Teaching Cases in the last decades have received a total of 742 indexed citations. Papers published in Journal of Information Technology Teaching Cases usually cover Management Information Systems (88 papers), Information Systems (53 papers) and Sociology and Political Science (37 papers) specifically the topics of Big Data and Business Intelligence (30 papers), FinTech, Crowdfunding, Digital Finance (19 papers) and Outsourcing and Supply Chain Management (19 papers). The most active scholars publishing in Journal of Information Technology Teaching Cases are Esko Penttinen, Aleksandre Asatiani, Pratim Datta, Selcen Öztürkcan, Mary C. Lacity, Leslie P. Willcocks, Andrew Craig, Joseph K. Nwankpa, Blake Ives and D. K. Adams.

In The Last Decade

Fields of papers published in Journal of Information Technology Teaching Cases

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of Information Technology Teaching Cases

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Information Technology Teaching Cases. 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 Information Technology Teaching Cases 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 Information Technology Teaching Cases 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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