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International Journal of Machine Learning and Cybernetics

Springer Science + Business Media · United States · Est. 2010

ISSN1868-8071eISSN1868-808X
SJR Q2✓ WOS SCIE✓ Scopus / SJR
90
/ 100
High Trust
PubScope credibility score from verifiable indexing & ethics signals
Score Breakdown
◆ WoS flagship (SCIE/SSCI/AHCI)78
✓ Corroboration (2 more)+12
Total90
Level data: Norwegian Register (HK-dir), NLOD 2.0. · Third-party records · how this is calculated · Report an error →
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
294
days submission → published
measured · last 20 articles · accept 274d
Q2
SJR Rank
Top 50% in field
Impact Factor & Quartile · Web of Science (JCR)

✓ 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JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date.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.

SJR Scorei
0.699
H-Indexi
86
CiteScore
View ↗
Scopus metric · on the journal’s page
SNIPi
0.962
Total Worksi
3,047
Total Citationsi
51,079
2yr Mean Citednessi
3.09
Open Impact Factor alternative

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

Country / RegionUnited States
Primary LanguageEnglish
1st Year Published2010
Annual Volume~ 357 articles / year
StatusActive (last: 2026)
Total Publications3,047
Publisher OrgSpringer Science+Business Media
Visit Journal Website

Submission Info

Peer Review—
Review Time—
Acceptance Rate—
OA License—
OA Rate—

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

6/12 · 50%
✅
Do you know the journal / publisher?
Springer Science + Business Media
✅
Does the journal have a website?
✓ Linked
✅
Is the ISSN verified?
1868-8071 / 1868-808X
✅
Indexed in a trusted database?
WoS, Scopus
❌
Peer review process documented?
N/A
❌
Follows ethical publishing standards (COPE)?
N/A
❌
APC fees clearly disclosed?
N/A
✅
Not on predatory/blacklists?
✓ Clean
❌
Long-term digital preservation?
N/A
❌
Plagiarism detection in place?
N/A
❌
Listed in DOAJ (verified OA)?
N/A
✅
Primary language documented?
English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Publication & Citation Trend

Articles published
Citations received
154
4.8k
2019
176
4.9k
2020
237
4.2k
2021
275
4k
2022
302
2.4k
2023
443
2.9k
2024
327
868
2025
369
55
2026

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.

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

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. Its PubScope Trust Score is 90/100. 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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Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref