IEEE Transactions on Machine Learning in Communications and Networking
Subject Categories
Subject Areas
Detailed Metrics
| Total Docs. (latest) | 75 |
| Total Docs. (3 years) | 119 |
| Total Refs. | 3,704 |
| Total Citations (3 years) | 697 |
| Citable Docs. (3 years) | 119 |
| Citations / Doc. (2 years) | 5.86 |
| Ref. / Doc. | 49.39 |
| % Female | 25.4% |
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 IEEE Transactions on Machine Learning in Communications and Networking?
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, IEEE Transactions on Machine Learning in Communications and Networking has an SJR of 1.267 and is ranked Q1.
What is the SJR and quartile of IEEE Transactions on Machine Learning in Communications and Networking?
IEEE Transactions on Machine Learning in Communications and Networking has an SJR (SCImago Journal Rank) of 1.267 and its best quartile is Q1.
What is the H-index of IEEE Transactions on Machine Learning in Communications and Networking?
The H-index of IEEE Transactions on Machine Learning in Communications and Networking is 16, meaning 16 of its articles have each been cited at least 16 times.
Is IEEE Transactions on Machine Learning in Communications and Networking indexed in Scopus?
Yes. IEEE Transactions on Machine Learning in Communications and Networking is active in Scopus (Scopus Source List, August 2026).
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