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.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Artificial IntelligenceQ2
Computer Vision and Pattern RecognitionQ2
SoftwareQ2
Subject Classification
Web of Science Categories
Computer Science, Artificial Intelligence
Scopus Categories
Computer Vision and Pattern RecognitionSoftwareArtificial Intelligence
Research Topics (OpenAlex)
Rough Sets and Fuzzy LogicFace and Expression RecognitionMulti-Criteria Decision MakingText and Document Classification TechnologiesTopic ModelingMachine Learning and ELMAnomaly Detection Techniques and ApplicationsDomain Adaptation and Few-Shot LearningData Mining Algorithms and ApplicationsAdvanced Graph Neural Networks