International Journal of Machine Learning and Cybernetics
Leading citation impact metric from Clarivate Journal Citation Reports
30 papers with at least that number of citations each
State Council for Professorship (HĐGSNN) Scoring
Quyết định số 26/QĐ-HĐGSNN ngày 11/7/2025 (Mục quốc tế)
HĐGSNN Score History
By article publication year| Year | Max Score | Evaluation Details | Source |
|---|---|---|---|
| 2026 | 1.50đ | WoS Q3(IF: 2.9) | 🔵 Computed |
| 2025 | 1.50đ | WoS Q3(IF: 2.7) | 🔵 Computed |
| 2024 | 1.50đ | WoS Q3(IF: 3.1) | 🔵 Computed |
| 2023 | 1.50đ | WoS Q3(IF: 5.6) | 🔵 Computed |
| 2022 | 1.50đ | WoS Q3(IF: 4.377) | 🔵 Computed |
| 2021 | 1.50đ | WoS Q3(IF: 4.012) | 🔵 Computed |
| 2020 | 1.50đ | WoS Q3(IF: 3.753) | 🔵 Computed |
| 2019 | 1.50đ | WoS Q3(IF: 3.844) | 🔵 Computed |
| 2018 | 1.50đ | WoS Q3(IF: 2.692) | 🔵 Computed |
Note: Domestic journal scores are officially collected from annual HĐGSNN decisions across councils. International journal scores are dynamically computed according to Decision 26/QĐ-HĐGSNN based on quartile and citation metrics in the publication year.
Aims & 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. The merging of the disciplines of Machine Learning and Cybernetics is aimed at the discovery of various forms of interaction between systems through diverse mechanisms of learning from data. 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. The emphasis of IJMLC is on the hybrid development of machine learning and cybernetics schemes inspired by different contributing disciplines such as engineering, mathematics, cognitive sciences, and applications. New ideas, design alternatives, implementations and case studies pertaining to all the aspects of machine learning and cybernetics fall within the scope of the IJMLC. Key research areas to be covered by the journal include: Machine Learning for modeling interactions between systems Pattern Recognition technology to support discovery of system-environment interaction Control of system-environment interactions Biochemical interaction in biological and biologically-inspired systems Learning for improvement of communication schemes between systems
SCImago & Scopus Journal Intelligence
Global SCImago ranking, SJR prestige index, Scopus coverage, and societal policy impact
Weighted prestige citation metric per document indexed in the Scopus database.
Measures cumulative publication volume and citation impact.
Average citations received per document published in the 2-year window.
Estimated Article Processing Charge for Open Access publication.
Scopus 3-Year Publication & Citation Window
Aggregated from Scopus database across the 3-year SJR evaluation window.
Societal Impact & Inclusivity (SCImago)
Citations in government and international policy documents
Percentage of female authors published in the journal
Real-world societal policy reach and author gender diversity tracked by SCImago.
Scopus Subject Categories
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
| Category | Index | Rank | Quartile |
|---|---|---|---|
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | JCRSCIE | 121/210 | Q3 |
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | JCISCIE | 136/210 | Q3 |
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
| Year | Impact Factor | Articles / Year | Total Citations |
|---|---|---|---|
| 2026 | — | 479 | 182 |
| 2025 | 2.7 | 322 | 1,172 |
| 2024 | 3.1 | 442 | 3,328 |
| 2023 | 5.6 | 302 | 2,527 |
| 2022 | 4.377 | 275 | 4,243 |
| 2021 | 4.012 | 237 | 4,342 |
| 2020 | 3.753 | 176 | 5,019 |
| 2019 | 3.844 | 154 | 4,941 |
| 2018 | 2.692 | 124 | 3,832 |
| 2017 | — | 147 | 5,052 |
| 2016 | — | 141 | 3,636 |
| 2015 | — | 159 | 4,451 |
Journal Metrics & Citation Visualizations
Impact Factor Trend (2018–2024)
Clarivate IF trend for International Journal of Machine Learning and Cybernetics
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
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