International Journal of Machine Learning and Cybernetics
Springer Science + Business Media · United States · Est. 2010
✓ Indexed in the Web of Science Core Collection (SCIE) — Clarivate publishes an official Journal Impact Factor and JCR quartile for this journal.
See the official Impact Factor & quartile on the journal’s page ↗The Impact Factor & JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date. Open metrics below: SCImago Q2. Source: Clarivate Journal Citation Reports.
Aims & Scope
International Journal of Machine Learning and Cybernetics is a dedicated platform for the confluence of machine learning and cybernetics research. Focused on the hybrid development of machine learning and cybernetics. Encourages the submission of new ideas, design alternatives, and case studies. Covers key research areas such as pattern recognition technology and control of system-environment interactions. Explores biochemical interactions in biological and biologically-inspired systems. Promotes learning for the improvement of communication schemes between systems.
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Subject Classification
Web of Science Categories
Scopus Categories
Research Topics (OpenAlex)
Frequently asked questions about International Journal of Machine Learning and Cybernetics
Is International Journal of Machine Learning and Cybernetics a predatory journal?
PubScope has no integrity flags on record for International Journal of Machine Learning and Cybernetics: it is indexed in Web of Science, Scopus, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.
What is the impact factor of International Journal of Machine Learning and Cybernetics?
International Journal of Machine Learning and Cybernetics is indexed in the Web of Science Core Collection, so Clarivate publishes an official Journal Impact Factor for it (since the 2023 Journal Citation Reports, every Core Collection journal — including Arts & Humanities and Emerging Sources titles — receives one). PubScope links to Clarivate's official source rather than reprinting the number, which can be out of date. Its open 2-year mean citedness is 3.09.
Is International Journal of Machine Learning and Cybernetics indexed in Scopus and Web of Science?
International Journal of Machine Learning and Cybernetics is indexed in Web of Science, Scopus.
What is the aims and scope of International Journal of Machine Learning and Cybernetics?
International Journal of Machine Learning and Cybernetics is a dedicated platform for the confluence of machine learning and cybernetics research. Focused on the hybrid development of machine learning and cybernetics. Encourages the submission of new ideas, design alternatives, and case studies. Covers key research areas such as pattern recognition technology and control of system-environment interactions. Explores biochemical interactions in biological and biologically-inspired systems. Promotes learning for the improvement of communication schemes between systems.
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See all →Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref