Machine Learning: Science and Technology
Subject Categories
Subject Areas
Aims & Scope
Abstracting & Indexing
Detailed Metrics
| Total Docs. (latest) | 322 |
| Total Docs. (3 years) | 634 |
| Total Refs. | 18,836 |
| Total Citations (3 years) | 3,106 |
| Citable Docs. (3 years) | 633 |
| Citations / Doc. (2 years) | 4.42 |
| Ref. / Doc. | 58.50 |
| % Female | 21.3% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
Publication & Citation Trend
Top 10 Most Cited Articles
Frequently Asked Questions
What is the impact factor of Machine Learning: Science and Technology?
The official Journal Impact Factor (JIF) is published by Clarivate in the Journal Citation Reports (JCR) and is not listed on this page. Based on SCImago data, Machine Learning: Science and Technology has an SJR of 0.872 and is ranked Q2.
What is the SJR and quartile of Machine Learning: Science and Technology?
Machine Learning: Science and Technology has an SJR (SCImago Journal Rank) of 0.872 and its best quartile is Q2.
What is the H-index of Machine Learning: Science and Technology?
The H-index of Machine Learning: Science and Technology is 48, meaning 48 of its articles have each been cited at least 48 times.
Is Machine Learning: Science and Technology indexed in Scopus?
Yes. Machine Learning: Science and Technology is active in Scopus (Scopus Source List, August 2026).
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