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Chiang, J. K., Kuo, C. W., & Yang, Y. H. (2010). A bibliometric study of e-learning literature on SSCI database. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-642-14533-9_15

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Tibaná-Herrera, G., Fernández-Bajón, M. T., & De Moya-Anegón, F. (2018). Categorization of E-learning as an emerging discipline in the world publication system: a bibliometric study in SCOPUS. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-018-0103-4

Abstract

Purpose – The paper aims to explore and identify the trends in E-Learning research at the global level.

Design/methodology/approach – The data were collected from the Web of Science database covering the period from 1989- 2018 in order to identify substantial contributions that have been published in the field of E-Learning. A total of 9826 records were retrieved. The data was analyzed to reveal different trends prevailing in E-Learning research including prominent contributing countries, authorship patterns adopted, the degree of collaboration, collaborative index, prominent sources for publication of research, visibility of research in term of citation trends like citations received/citations per paper etc.

Findings –The analysis revealed a positive growth in literature. It is clear that USA and UK have contributed to more than half of the research output with PEI of 1.07 and 1.45 respectively. Computers & Education and Journal of Chemical Education were the two most used journals. The study also found out that Bradford’s Law of scattering does not hold good to the journals cited in the three journals

Keywords–E-Learning, Bibliometrics, Web of Science

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