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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).

Diem, A., & Wolter, S. C. (2013). The Use of Bibliometrics to Measure Research Performance in Education Sciences. Research in Higher Education.

Harande, Y. I., & Ladan, B. F. (2013). A Bibliometrics Study on E-Learning Literature of Nigeria. Journal of Education and Human Development (Vol. 2). Retrieved from

Hazarika, T., Goswami, K., & Das, P. (2003). Bibliometric Analysis of Indian Forester: 1991-2000. Retrieved from

Ivanović, L., & Ho, Y. S. (2017). Highly cited articles in the Education and Educational Research category in the Social Science Citation Index: a bibliometric analysis. Educational Review.

Kruse. (2002). The State of e-Learning: Looking at History with the Technology Hype Cycle. Retrieved October 26, 2018, from

Lin, T. C., Lin, T. J., & Tsai, C. C. (2014). Research Trends in Science Education from 2008 to 2012: A systematic content analysis of publications in selected journals. International Journal of Science Education.

Lopes, R. M., Faria, D. J. G. dos S. de, Fidalgo-Neto, A. A., & Mota, F. B. (2017). Facebook in educational research: a bibliometric analysis. Scientometrics.

Mattsson, P. (2008). Bibliometrics as a tool for research evaluation, (5), The euroscience.

Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research.

Nicholson, P. (2008). A history of E-Learning: Echoes of the pioneers. In Computers and Education: E-Learning, From Theory to Practice.

Okubo, Y. (1997). Bibliometric Indicators and Analysis of Research Systems: Methods and Examples. OECD Science, Technology and Industry Working Papers.

Perry, L. B. (2018). Assessing the performance of educational research in Australian universities: an alternative perspective. Higher Education Research and Development.

Tibaná-Herrera, G., Fernández-Bajón, M.-T., & De-Moya-Anegón, F. (2018). Output, collaboration and impact of e-learning research: Bibliometric analysis and visualizations at the country and institutional level (Scopus 2003-2016). El Profesional de La Información.

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.


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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