Electronic Commerce Research - h5-Index Rating
The h5-index is a product of Google Scholar and shows a journal’s h-Index based on the journal’s articles published in the last 5 calendar years (with an overall minimum of 100 articles published during these years). The variable h is defined as the largest number of articles that have each been cited h times. The h5-Index therefore cannot be dominated by one or a few highly cited articles.
In 2021, Electronic Commerce Research received the following ratings:
h5-Index | h5-Median |
32 | 54 |
Electronic Commerce Research highlights some of these top cited articles:
Trust and risk in consumer acceptance of e-services (this opens in a new tab)
J Mou, DH Shin, JF Cohen
Electronic Commerce Research 17.2 (November 2015)
A model for sentiment and emotion analysis of unstructured social media text (this opens in a new tab)
JK Rout, KKR Choo, AK Dash, S Bakshi, SK Jena, KL Williams
Electronic Commerce Research 18.1 (April 2017)
An empirical investigation of signaling in reward-based crowdfunding (this opens in a new tab)
MM Kunz, U Bretschneider, M Erler, JM Leimeister
Electronic Commerce Research 17.3 (December 2016)
Measuring e-service quality and its importance to customer satisfaction and loyalty: an empirical study in a telecom setting (this opens in a new tab)
R Zhou, X Wang, Y Shi, R Zhang, L Zhang, H Guo
Electronic Commerce Research 19.3 (April 2018)
Knowledge mapping of social commerce research: a visual analysis using CiteSpace (this opens in a new tab)
Y Cui, J Mou, Y Liu
Electronic Commerce Research 18.4 (January 2018)