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Home › Journal of Computer Assisted Learning

Journal of Computer Assisted Learning

Q1 Journal Scopus Active Journal
Country
United Kingdom
Western Europe
Subject Area and Category
Computer Science
└ Computer Science Applications Q1
└ Education Q1
└ E-learning Q1
SJR 2025
2.155
Q1
SJR Score
H-Index
129
Citations / Doc (2yr)
7.81
Total Docs. (latest)
198
Total Citations (3yr)
4,212
Publication type
Journals
ISSN
13652729, 02664909
Coverage
1985-2026
Journal Rank
#1,246
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Subject Categories

Computer Science Applications Q1
Education Q1
E-learning Q1

Aims & Scope

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

Abstracting & Indexing

Scopus Google Scholar Web of Science

Detailed Metrics

Total Docs. (latest) 198
Total Docs. (3 years) 458
Total Refs. 15,618
Total Citations (3 years) 4,212
Citable Docs. (3 years) 457
Citations / Doc. (2 years) 7.81
Ref. / Doc. 78.88
% Female 50.8%

Metrics Visualization

Latest year data vs 3-year cumulative figures

Publication & Citation Trend

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Top 10 Most Cited Articles

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Frequently Asked Questions

What is the impact factor of Journal of Computer Assisted Learning?

The official Journal Impact Factor (JIF) is published by Clarivate in the Journal Citation Reports (JCR) and is not listed on this page. Based on SCImago data, Journal of Computer Assisted Learning has an SJR of 2.155 and is ranked Q1.

What is the SJR and quartile of Journal of Computer Assisted Learning?

Journal of Computer Assisted Learning has an SJR (SCImago Journal Rank) of 2.155 and its best quartile is Q1.

What is the H-index of Journal of Computer Assisted Learning?

The H-index of Journal of Computer Assisted Learning is 129, meaning 129 of its articles have each been cited at least 129 times.

Is Journal of Computer Assisted Learning indexed in Scopus?

Yes. Journal of Computer Assisted Learning is active in Scopus (Scopus Source List, August 2026).

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Journal Information

SJR2.155
Best QuartileQ1
H Index129
ISSN13652729, 02664909
PublisherWiley-Blackwell Publishing Ltd
CountryUnited Kingdom
RegionWestern Europe
Coverage1985-2026
Open AccessNo
TypeJournal
Rank#1,246

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