International Journal of Machine Learning and Cybernetics

ISSN 1868-8071Springer Science + Business Media
ScopusSCImagoJIFMatched via identifier

Journal overview

Journal identity
Titles
International Journal of Machine Learning and Cybernetics
International Journal of Machine Learning and Cybernetics SPRINGER HEIDELBERG
Key identifiers
ISSN
1868-8071
1868-8071
eISSN
1868-808X
NLM ID
Not available
Publisher / basic metadata
Publisher
Springer Science + Business Media
Country
Language
Not available

Indexing & coverage

Current indexing summary
Scopus
Currently indexed

Scopus's Sources record lists this journal as active.

Indexing history
Coverage
2010–2026
Indexing services (MEDLINE, Embase)
Not available
Bibliographic inclusion (PubMed)
Not available
Full-text availability (PMC — not an indexing service)
Not available

Metrics

MetricYearValueQuartileRankSource
JIF20252.7Q35704JCR Impact Factor List 2025 — supplied dataset
SCImago Journal Rank (SJR) — 2025

Source: SCImago Journal & Country Rank — 2025 dataset. SJR is a metric published by SCImago, presented here as reported.

SJR
0.699
Best Quartile
Q2
H-index
79
Subject categories
  • Artificial Intelligence — Q2
  • Computer Vision and Pattern Recognition — Q2
  • Software — Q2
More metrics
Coverage
2010–2026
Country
United States
Region
Northern America
Publisher
Springer Science + Business Media
Open Access
No
Open Access (Diamond)
No
Total documents (current year)
559
Total documents (3 years)
863
Total references
29281
Total citations (3 years)
3552
Citable documents (3 years)
858
Citations per document (2 years)
4.48
References per document
52.38
Source details
Match confidence
Confirmed — two independent ISSNs agree
Matched via ISSN(s)
1868-808X, 1868-8071
SCImago Source ID
19700177336
SCImago Rank (across all SCImago source types)
8260

Publication activity

Publication activity
SCImago
2025
559 observed publications
Latest publication activity observed
2025
Current-year activity
Recent publication activity observed

Evidence sources: SCImago. SCImago's count is a source-reported aggregate figure; Crossref/OpenAlex/PubMed counts are distinct article records JCF Labs observed via each provider's own free API — none is guaranteed to be that journal's complete output for the year, and providers may disagree (this is expected, not an error). See this journal's own source evidence above for full context.

Subjects & categories

Subjects / categories
Subject area (SCImago)
MeSH (PubMed)
Not available
Coverage / history
Scopus:2010-2026