Journal profile · COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
International Journal of Machine Learning and Cybernetics
ISSN 1868-8071 · eISSN 1868-808X · Springer Berlin Heidelberg · GERMANY · 12 issues per year · Founded 2010
International Journal of Machine Learning and Cybernetics: CAS Zone 4 · Computer Science (2025 upgraded edition); impact factor 2.78; subscription journal; APC about USD 3,990; median 257 days to acceptance (123 articles, last 24 months); 322 articles in 2025; indexed in SCIE and Scopus.
Scope
Aims, scope and focus
International Journal of Machine Learning and Cybernetics is published by Springer Berlin Heidelberg and is in Zone 4 of Computer Science in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Rough Sets and Fuzzy Logic, Face and Expression Recognition and Multi-Criteria Decision Making, together about 23.6% of its articles. Its main subfields are Artificial Intelligence. (generated from OpenAlex topic counts and CAS ranking data)
The International Journal of Machine Learning and Cybernetics (IJMLC) publishes original research on the theory, algorithms, and applications of machine learning and data-driven intelligent systems. The journal provides a forum for methodological advances that enable intelligent systems to learn, represent, reason, make decisions, and interact in complex environments. IJMLC welcomes high-quality contributions on machine learning methodologies and their applications in complex intelligent systems and other data-driven environments. 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. Topics of interest include, but are not limited to: Machine learning theory and algorithms Deep learning and representation learning Self-supervised, semi-supervised, and contrastive learning Graph learning and graph neural networks Foundation models, large language models, and multi-modal learning Generative AI and reinforcement learning Data-centric AI, trustworthy AI and explainable AI Knowledge-enhanced and neuro-symbolic learning Machine learning for intelligent systems, cyber-physical systems, robotics, communication networks, healthcare, bioinformatics, transportation, finance, and other data-driven applications Studies focusing primarily on traditional theories (e.g., fuzzy systems, rough sets, granular computing, classical optimization, and control theory) are considered only when they demonstrate substantial methodological contributions to modern machine learning.
From the journal's Aims & Scope
Research area (LetPub): COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Editor-in-chief Xizhao WangPublisher website
Editorial board by country: 22 in mainland China (about 44%); most named Mainland China 22, Australia 6, United States 4, Italy 2, Türkiye 2 (50 members with a country) Editorial board ↗Publisher website ·
Main research topics OpenAlex counts of recent articles; shares are approximate
- Rough Sets and Fuzzy LogicComputer Science9.2%
- Face and Expression RecognitionComputer Science8.8%
- Multi-Criteria Decision MakingDecision Sciences5.7%
- Topic ModelingComputer Science5.2%
- Text and Document Classification TechnologiesComputer Science5.1%
- Anomaly Detection Techniques and ApplicationsComputer Science4.7%
- Machine Learning and ELMComputer Science4.6%
- Domain Adaptation and Few-Shot LearningComputer Science4.6%
Rankings & indexing
CAS ranking and database indexing
CAS Journal Ranking
CAS Journal Ranking, upgraded edition (March 2025)Computer Science Zone 4
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 4 |
| Minor | Computer Science, Artificial Intelligence | Zone 4 |
Top journal: noReview journal: no
CAS Xinrui Journal Ranking (March 2026)Computer Science Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 3 |
| Minor | Computer Science, Artificial Intelligence | Zone 4 |
Top journal: noReview journal: not marked
CAS Journal Ranking, previous upgraded edition (December 2023)Computer Science Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 3 |
| Minor | Computer Science, Artificial Intelligence | Zone 3 |
Top journal: noReview journal: no
Database indexing
SCIEScopusLetPub
International journal early-warning lists: not listed in any editionLetPub
Indexing the journal's website claims
EI CompendexINSPECCASDBLPPublisher website
Other: Google Scholar, EBSCO, ProQuest, Dimensions, CNKI, Baidu, ACM Digital Library, Naver, OCLC, Portico, CLOCKSS
As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.
Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.
Metrics
Impact metrics and publication volume
Impact
- Impact factor
- 2.78LetPub ·
- Impact factor (publisher) 2025
- 2.9Publisher website ·
- 5-year impact factor (publisher) 2025
- 3.4Publisher website ·
- CiteScore 2026-06
- 6LetPub ·
- SJR 2026-06
- 0.7LetPub ·
- SNIP 2026-06
- 0.95LetPub ·
- h-index
- 30LetPub ·
- h-index
- 87OpenAlex ·
- i10-index
- 1,259OpenAlex ·
- 2-year mean citedness
- 3.79OpenAlex ·
- Self-citation rate
- 6.9%LetPub ·
- Share of gold OA articles
- 4.57%LetPub ·
Volume
- Articles per year
- 315LetPub ·
- Downloads per year (publisher) 2025
- 504,500Publisher website ·
Articles by year OpenAlex count · 3,289 in total · the current year is incomplete
| Year | Articles | Open access | Citations |
|---|---|---|---|
| 2026 | 490 | 38 | 186 |
| 2025 | 322 | 32 | 1,197 |
| 2024 | 442 | 33 | 3,366 |
| 2023 | 302 | 22 | 2,550 |
| 2022 | 275 | 37 | 4,250 |
| 2021 | 237 | 26 | 4,368 |
Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.
Review & acceptance
Review time and acceptance
Review time from article dates manuscript dates registered with Crossref · to
257 daysMedian, submission to acceptance · P25–P75 205 days – 305 days
- Acceptance to online
- median 26 days (123 articles)
- Submission to online
- median 290 days
- Sample
- 123 articles with submission and acceptance dates (919 in the window); the latest was accepted on
Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".
Other sources
- Submission to first decision
- 4 daysPublisher website ·
- Peer review
- Double anonymous peer reviewPublisher website
Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.
Fees & open access
APC and open-access policy
Subscription journalLetPub
A subscription journal: articles are read by subscription or purchase, and authors usually pay no publication charge.
| Source | APC | Fee waiver | License | Observed |
|---|---|---|---|---|
| OpenAlex | USD 3,990 / EUR 2,990 / GBP 2,590 | — | — |
The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.
Submission
Article types and submission policies (journal website)
What to prepare4 items from the author guidelines
- Abstract
- 150–250 words
- Keywords
- ≥ 4
- Reference style
- Author–date
- Suggested reviewers
- Optional
Policy excerpts from the journal's websiteAI use, Authorship, Conflicts of interest, Data availability, Publication ethics, License & copyright, Open access
- AI use Generative AI Images
Please check Springer’s policy on generative AI images and make sure your work adheres to the principles described therein. Back to top
Source ↗Publisher website ·- Authorship Authorship principles
These guidelines describe authorship principles and good authorship practices to which prospective authors should adhere to. Authorship clarified The Journal and Publisher assume all authors agreed with the content and that all gave explicit consent to submit and that they obtained consent from the responsible authorities at the institute/organization where the work has been carried out, before th…
Source ↗Publisher website ·- Conflicts of interest Disclosures and declarations
All authors are requested to include information regarding sources of funding, financial or non-financial interests, study-specific approval by the appropriate ethics committee for research involving humans and/or animals, informed consent if the research involved human participants, and a statement on welfare of animals if the research involved animals (as appropriate). The decision whether such …
Source ↗Publisher website ·- Data availability Data availability statements
All original research must include a data availability statement. This statement should explain how to access data supporting the results and analysis in the article, including links/citations to publicly archived datasets analysed or generated during the study. Please see our full policy here. If it is not possible to share research data publicly, for instance when individual privacy could be com…
Source ↗Publisher website ·- Publication ethics Compliance with Ethical Standards
To ensure objectivity and transparency in research and to ensure that accepted principles of ethical and professional conduct have been followed, authors should include information regarding sources of funding, potential conflicts of interest (financial or non-financial), informed consent if the research involved human participants, and a statement on welfare of animals if the research involved an…
Source ↗Publisher website ·- License & copyright Copyright
Open Choice articles do not require transfer of copyright as the copyright remains with the author. In opting for open access, the author(s) agree to publish the article under a Creative Commons license. Details of the OA licences offered to authors can be found on the individual journal website, in the journal's How to publish with us guide. Back to top
Source ↗Publisher website ·- Open access Open access publishing
To find out more about publishing your work Open Access in International Journal of Machine Learning and Cybernetics, including information on fees, funding and licences, visit our Open access publishing page. Back to top
Source ↗Publisher website ·
Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.
Profile
Publication details and official links
- Publisher
- Springer Berlin Heidelberg
- Country or region
- GERMANY
- Language
- English
- Frequency
- 12 issues per year
- Founded
- 2010
- ISSN
- 1868-8071
- Electronic ISSN
- 1868-808X
- Official links
- Journal homepage ↗OpenAlex
- Submission system ↗Publisher website
- Author guidelines ↗LetPub
- Special issues ↗Publisher website
FAQ
Frequently asked questions about International Journal of Machine Learning and Cybernetics
What CAS zone is International Journal of Machine Learning and Cybernetics in?
In the 2025 upgraded edition of the CAS Journal Ranking, International Journal of Machine Learning and Cybernetics is in Zone 4 of Computer Science, and in Zone 4 of the minor category Computer Science, Artificial Intelligence. In the 2026 Xinrui edition it is in Zone 3 of Computer Science. Zones from different editions, and from major and minor categories, are not interchangeable.
What is the impact factor of International Journal of Machine Learning and Cybernetics?
The latest impact factor listed by LetPub is 2.78; CiteScore 6, h-index 87.
How long does peer review take at International Journal of Machine Learning and Cybernetics?
Based on the dates recorded on 123 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 257 days (interquartile range 205–305 days). Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.
What are the manuscript requirements of International Journal of Machine Learning and Cybernetics?
According to the journal's author guidelines: Abstract: 150–250 words; Keywords: ≥ 4; Reference style: Author–date; Suggested reviewers: Optional. A model extracted these from the author guidelines and each was checked against the text; check the latest version on the journal's website before submitting.
Where are the editorial board members of International Journal of Machine Learning and Cybernetics based?
Of the 50 board members whose country the journal's board page names, 22 (about 44%) are in mainland China; the countries named most often are Mainland China (22), Australia (6) and United States (4). Counted from the institutions listed on the board page; for reference only.
Which databases index International Journal of Machine Learning and Cybernetics?
According to LetPub and DOAJ records, International Journal of Machine Learning and Cybernetics is indexed in SCIE and Scopus. The journal's website also lists EI Compendex, INSPEC, CAS and DBLP; that list has not been checked against each database.
Is International Journal of Machine Learning and Cybernetics open access, and what is the APC?
International Journal of Machine Learning and Cybernetics is a subscription journal. APC about USD 3,990.
Sources and updates
The facts on this page come from LetPub, OpenAlex, Publisher website; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-25). Last updated: .