Journal of Internet Commerce

445 papers and 7.5k indexed citations i.

About

The 445 papers published in Journal of Internet Commerce in the last decades have received a total of 7.5k indexed citations. Papers published in Journal of Internet Commerce usually cover Sociology and Political Science (283 papers), Information Systems and Management (253 papers) and Marketing (198 papers) specifically the topics of Digital Marketing and Social Media (256 papers), Technology Adoption and User Behaviour (248 papers) and Customer Service Quality and Loyalty (113 papers). The most active scholars publishing in Journal of Internet Commerce are Jay Trivedi, Min Chung Han, Delonia Cooley, Yeong Gug Kim, Chih-Ping Chen, Birol Topçu, Erkan Akar, Peng Chen, Jamid Ul Islam and Ju‐Young M. Kang.

In The Last Decade

Fields of papers published in Journal of Internet Commerce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Internet Commerce. 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 Internet Commerce.

Countries where authors publish in Journal of Internet Commerce

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Internet Commerce. 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 Internet Commerce 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 Internet Commerce 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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