Ranking & Metrics Journal Information Aims & Scope of the Journal
Journal of Computer Assisted Learning

Journal of Computer Assisted Learning

Research
Impact Score 1.98

OFFICIAL WEBSITE

Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 1.98
JCR Impact Factor: 2.126
SCIMAGO SJR: 1.54
Scopus Citescore: 5.2
SCIMAGO H-index: 86
Research Ranking (Computer Science) 505
Number of Top scientists: 7
Documents by top scientists: 8

Journal Information

ISSN: 0266-4909
Publisher: Journal of Computer Assisted Learning
Periodicity:
Editors-in-Chief: Paul A. Kirschner

Aims & Scope of the Journal

Journal of Computer Assisted Learning offers a site for the dissemination of recent research contributions in the rapidly developing fields of Web, Mobile & Multimedia Technologies . The publication process for Journal of Computer Assisted Learning is to publish new innovative documents that have been rigorously reviewed by competent scientific experts. The journal welcomes submissions from the research community where the priority will be on the novelty and the practical importance of the reported work.



Journal of Computer Assisted Learning is covered by a wide range of abstracting/indexing services including Scopus, Journal Citation Reports ( Clarivate ) and Guide2Research. A number of leading researchers considered this journal to publish their scholarly documents including Marcus Specht, Pierre Dillenbourg, Paolo Dario and miguel nussbaum.

For additional details on the rules and submission requirements for authors, it is recommended to consult the official website for the journal for Journal of Computer Assisted Learning at https://onlinelibrary.wiley.com/journal/13652729 .