SCI Journal

Impact Factor Database

Journal of Computer Assisted Learning

Basic Journal Info


United Kingdom
Journal ISSN: 13652729, 02664909
Publisher: Blackwell Publishing Inc.
History: 1985-ongoing
Journal Hompage: Link
You can find more information about getting published on this journal here:

Research Categories

Impact Factor Ranking

Computer Science


The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope

Journal of Computer Assisted Learning

Impact Factor Trend 2000 - 2018 / 2019
Note: impact factor data for reference only

Impact Factor

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. In other words, the impact factor of 2020 is the average of the number of cited publications divided by the citable publications of a journal. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Normally, journals with higher impact factors are often deemed to have more influence than those with lower ones. However, the science community has also noted that review articles typically are more citable than research articles.

(Read More: What is a good impact factor?)

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Journal of Computer Assisted Learning

Impact Factor History
  • 2018 / 2019 Impact Factor 3.902
  • 2017 Impact Factor 2.742
  • 2016 Impact Factor 2.230
  • 2015 Impact Factor 3.821
  • 2014 Impact Factor 3.721
  • 2013 Impact Factor 4.058
  • 2012 Impact Factor 3.954
  • 2011 Impact Factor 4.393
  • 2010 Impact Factor 3.845
  • 2009 Impact Factor 3.506
  • 2008 Impact Factor 2.306
  • 2007 Impact Factor 2.556
  • 2006 Impact Factor 1.913
  • 2005 Impact Factor 2.258
  • 2004 Impact Factor 1.125
  • 2003 Impact Factor 0.583
  • 2002 Impact Factor 0.740
  • 2001 Impact Factor 0.729
  • 2000 Impact Factor 0.507
Note: impact factor data for reference only

3-Years Average
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3-Years Growth
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5-Years Average
Impact Factor


5-Years Growth
Impact Factor


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Other Journal Impact Indicator

Any journal impact factor or scientometric indicator alone will not give you the full picture of a science journal. That’s why every year, scholars review current metrics to improve upon them and sometimes come up with new ones. There are also other factors to sider for example, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper). Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed.

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Journal of Computer Assisted Learning


The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications


Journal of Computer Assisted Learning

SCImago Journal Rank (SJR)

SCImago Journal Rank (SJR indicator) is a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from.