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International Journal of Machine Learning and Cybernetics - Springer | 2020 Impact Factor:4.012|Cite Score:7.2|Q1


The International Journal of Machine Learning and Cybernetics (IJMLC) focuses on the key research problems emerging at the junction of machine learning and cybernetics and serves as a broad forum for rapid dissemination of the latest advancements in the area.

Journal Home:  Journal Homepage

Editor-in-Chief:  Xi-Zhao Wang

scope: Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers fundamental functional relationships between variables and ensembles of variables in systems.

Print ISSN:  1868-8071

Electronic ISSN:  1868-808X

Abstracting and Indexing:  Science Citation Index Expanded. Scopus.

Imapct Factor 2020:   4.012

Subject Area and Category:  Computer Sciences

Publication Frequency:  Quartely

H Index:  44

Best Quartile:

Q1:  Software




Cite Score:  7.2

SNIP:  1.299

Journal Rank(SJR):  0.681

Publisher:   Springer Heidelberg

Country:  United States