Electronic Commerce Research

1.0k papers and 20.2k indexed citations

About

The 1.0k papers published in Electronic Commerce Research in the last decades have received a total of 20.2k indexed citations. Papers published in Electronic Commerce Research usually cover Sociology and Political Science (418 papers), Marketing (386 papers) and Information Systems and Management (195 papers) specifically the topics of Digital Marketing and Social Media (331 papers), Technology Adoption and User Behaviour (193 papers) and Consumer Market Behavior and Pricing (175 papers). The most active scholars publishing in Electronic Commerce Research are Jin Baek Kim, Xue Ding, Zhong Yang, Ismail Sila, Tseng‐Lung Huang, Shuling Liao, Marios Sotiriadis, Ciná Van Zyl, Wanglin Ma and Taesik Lee.

In The Last Decade

Electronic Commerce Research

955 papers receiving 18.8k citations

Countries where authors publish in Electronic Commerce Research

Since Specialization
Citations

This map shows the geographic impact of research published in Electronic Commerce Research. 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 Electronic Commerce Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Electronic Commerce Research more than expected).

Fields of papers published in Electronic Commerce Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Electronic Commerce Research. 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 Electronic Commerce Research.

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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