A bibliometric analysis of the scientific production of E-learning in higher education (1998-2020)
Studies on E-learning in higher education have been gaining increasing attention from scholars in recent years. To have an overall understanding of these scientific productions of E-learning, a bibliometric analysis was done to conduct a quantitative scientific analysis of 1985 journal articles coll...
| Main Authors: | , , , |
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| Format: | Article |
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International Association of Computer Science and Information Technology
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100065/ |
| _version_ | 1848863214882783232 |
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| author | Gao, Yanjun Wong, Su Luan Md. Khambari, Mas Nida Noordin, Nooreen |
| author_facet | Gao, Yanjun Wong, Su Luan Md. Khambari, Mas Nida Noordin, Nooreen |
| author_sort | Gao, Yanjun |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Studies on E-learning in higher education have been gaining increasing attention from scholars in recent years. To have an overall understanding of these scientific productions of E-learning, a bibliometric analysis was done to conduct a quantitative scientific analysis of 1985 journal articles collected from the Scopus database. All the documents were analyzed through Biblioshiny and VOSviewer software. The results revealed that publications on E-learning increased at an exponential speed with a 26.48% annual growth rate. The International Journal of Emerging Technologies in Learning was the most productive while Computer and Education was considered the most impactful journal based on total citations. Europe and the United States played the leading role by publication quantity and total citations. At the researcher level, Al-samarraie, H. was ranked the top author in terms of both productivity and h-index, while Ebner, M. was the most influential author by total citations. The main themes drawn from the cluster analysis were “distance learning”, “technology acceptance”, “teachers’ professional training and development” and “quality assessment of E-learning”, which confirmed further previous research themes. The limitations of the study and recommendations for future research conclude the paper. |
| first_indexed | 2025-11-15T13:29:22Z |
| format | Article |
| id | upm-100065 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:29:22Z |
| publishDate | 2022 |
| publisher | International Association of Computer Science and Information Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1000652024-08-01T06:21:40Z http://psasir.upm.edu.my/id/eprint/100065/ A bibliometric analysis of the scientific production of E-learning in higher education (1998-2020) Gao, Yanjun Wong, Su Luan Md. Khambari, Mas Nida Noordin, Nooreen Studies on E-learning in higher education have been gaining increasing attention from scholars in recent years. To have an overall understanding of these scientific productions of E-learning, a bibliometric analysis was done to conduct a quantitative scientific analysis of 1985 journal articles collected from the Scopus database. All the documents were analyzed through Biblioshiny and VOSviewer software. The results revealed that publications on E-learning increased at an exponential speed with a 26.48% annual growth rate. The International Journal of Emerging Technologies in Learning was the most productive while Computer and Education was considered the most impactful journal based on total citations. Europe and the United States played the leading role by publication quantity and total citations. At the researcher level, Al-samarraie, H. was ranked the top author in terms of both productivity and h-index, while Ebner, M. was the most influential author by total citations. The main themes drawn from the cluster analysis were “distance learning”, “technology acceptance”, “teachers’ professional training and development” and “quality assessment of E-learning”, which confirmed further previous research themes. The limitations of the study and recommendations for future research conclude the paper. International Association of Computer Science and Information Technology 2022-05-05 Article PeerReviewed Gao, Yanjun and Wong, Su Luan and Md. Khambari, Mas Nida and Noordin, Nooreen (2022) A bibliometric analysis of the scientific production of E-learning in higher education (1998-2020). International Journal of Information and Education Technology, 12 (5). 390 - 399. ISSN 2010-3689 https://www.ijiet.org/show-169-2064-1.html 10.18178/ijiet.2022.12.5.1632 |
| spellingShingle | Gao, Yanjun Wong, Su Luan Md. Khambari, Mas Nida Noordin, Nooreen A bibliometric analysis of the scientific production of E-learning in higher education (1998-2020) |
| title | A bibliometric analysis of the scientific production of E-learning in higher education (1998-2020) |
| title_full | A bibliometric analysis of the scientific production of E-learning in higher education (1998-2020) |
| title_fullStr | A bibliometric analysis of the scientific production of E-learning in higher education (1998-2020) |
| title_full_unstemmed | A bibliometric analysis of the scientific production of E-learning in higher education (1998-2020) |
| title_short | A bibliometric analysis of the scientific production of E-learning in higher education (1998-2020) |
| title_sort | bibliometric analysis of the scientific production of e-learning in higher education (1998-2020) |
| url | http://psasir.upm.edu.my/id/eprint/100065/ http://psasir.upm.edu.my/id/eprint/100065/ http://psasir.upm.edu.my/id/eprint/100065/ |