Ranking & Metrics Journal Information Aims & Scope of the Journal Special Issues
IEEE Transactions on Learning Technologies

IEEE Transactions on Learning Technologies

Research
Impact Score 3.3

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: 3.3
JCR Impact Factor: 2.714
SCIMAGO SJR: 0.935
Scopus Citescore: 6
SCIMAGO H-index: 44
Research Ranking (Computer Science) 304
Number of Top scientists: 28
Documents by top scientists: 37

Journal Information

ISSN: 1939-1382
Publisher: IEEE Transactions on Learning Technologies
Periodicity: Quarterly
Editors-in-Chief:

Aims & Scope of the Journal

IEEE Transactions on Learning Technologies publishes scholarly articles describing novel vital contributions in the fields of Databases & Information Systems, General Computer Science, Machine Learning & Artificial intelligence and Web, Mobile & Multimedia Technologies. IEEE Transactions on Learning Technologies presents unique scholarly papers which go through peer review by experts in the field. The journal encourages submissions from the research community where attention will be on the innovativeness and the practical impact of the reported work.



IEEE Transactions on Learning Technologies is listed in a wide range of abstracting and indexing databases such as Scopus, Web of Science and Guide2Research. A significant number of leading scientists have published their research contributions at this Journal including Peter Brusilovsky, Dragan Gasevic, Mike Sharples and Jordi Cortadella.

For more information on the instructions and submission provisions for authors, it is recommended to consult the journal website for IEEE Transactions on Learning Technologies at https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=4620076 .

Special Issues

Publisher Journal Details Closing date G2R Score
Learning Analytics

Learning Analytics

IEEE Transactions on Learning Technologies

01-02-2016

3.3