

Journal of Machine Learning for Modeling and Computing
ISSN 2689-3967Begell House Inc.United States
ScopusSCImagoMatched via identifier
Journal overview
Journal identity
Titles
Journal of Machine Learning for Modeling and Computing
Key identifiers
ISSN
2689-3967
eISSN
2689-3975
NLM ID
Not available
Publisher / basic metadata
Publisher
Begell House Inc.
Country
United States
Language
English
Indexing & coverage
Current indexing summary
Scopus
Currently indexedScopus's Sources record lists this journal as active.
Indexing history
Coverage
2020–2026
Indexing services (MEDLINE, Embase)
Not availableBibliographic inclusion (PubMed)
Not availableFull-text availability (PMC — not an indexing service)
Not availableMetrics
JIF
Not available
SCImago Journal Rank (SJR) — 2025
Source: SCImago Journal & Country Rank — 2025 dataset. SJR is a metric published by SCImago, presented here as reported.
SJR
0.944
Best Quartile
Q1
H-index
13
Subject categories (quartile varies by category)
- Computational Mechanics — Q1
- Computer Science (miscellaneous) — Q1
- Modeling and Simulation — Q1
- Artificial Intelligence — Q2
More metrics
Coverage
2020–2025
Country
United States
Region
Northern America
Publisher
Begell House Inc.
Open Access
No
Open Access (Diamond)
No
Total documents (current year)
21
Total documents (3 years)
59
Total references
861
Total citations (3 years)
198
Citable documents (3 years)
57
Citations per document (2 years)
3.74
References per document
41
Source details
Match confidence
Confirmed — two independent ISSNs agree
Matched via ISSN(s)
2689-3975, 2689-3967
SCImago Source ID
21101297958
SCImago Rank (across all SCImago source types)
5380
Publication activity
Publication activity
SCImago
2025
21 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
Coverage / history
Scopus:2020-2026