Title: A bibliometric analysis of m-learning from topic inception to 2015

Authors: Monther M. Elaish; Liyana Shuib; Norjihan Abdul Ghani; Ghulam Mujtaba; Nader Ale Ebrahim

Addresses: Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia; Department of Computer Science, Faculty of Information Technology, University of Benghazi, Benghazi, Libya ' Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia ' Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia ' Department of Computer Science, Sukkur IBA University, Sukkur, Sind, Pakistan; Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia ' Centre for Research Services, Institute of Management and Research Services (IPPP), University of Malaya, Kuala Lumpur, Malaysia

Abstract: Mobile learning is a promising and widely adopted mode of education nowadays. However, to the best of our knowledge, there have been no studies that have investigated publications on the use of mobile learning in the Thomson Reuters Web of Science (WoS) through bibliometric analysis. This study aims to provide readers with statistical information to obtain a deep understanding of this domain. The results show that 3087 mobile learning publications have been published since 1982. As a result, the study has compared and determined the possible ways for researchers and authors to improve the citation rate of their publications on m-learning and to gain a deeper understanding of the field of mobile learning by studying the number of publications and country, the number of authors, the keywords, the number of references, the number of pages, the journal, the authors' publications, and the number of citations. Additionally, other bibliometric results are discussed.

Keywords: mobile learning; m-learning; web of science; bibliometric.

DOI: 10.1504/IJMLO.2019.096470

International Journal of Mobile Learning and Organisation, 2019 Vol.13 No.1, pp.91 - 112

Received: 20 Oct 2017
Accepted: 20 Feb 2018
Published online: 04 Dec 2018 *

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