IEEE Transactions on Machine Learning in Communications and Networking
IEEE · United States · Est. 2022
✓ Indexed in the Web of Science Core Collection (ESCI) — 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JCR quartile are licensed by Clarivate — we link you to the official source instead of reprinting a number that can go out of date.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 Q1. Source: Clarivate Journal Citation Reports.
Aims & Scope
The IEEE Transactions on Machine Learning in Communications and Networking publishes high-quality manuscripts on advances in machine learning methods for and applications to communications and networking. Furthermore, articles developing novel communication and networking techniques for distributed machine learning algorithms are of interest. Both theoretical contributions (including new theories, techniques, concepts, algorithms, and analyses) and practical contributions (including system experiments, prototypes, and new applications) are encouraged.
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Subject Classification
Web of Science Categories
Research Topics (OpenAlex)
Frequently asked questions about IEEE Transactions on Machine Learning in Communications and Networking
Is IEEE Transactions on Machine Learning in Communications and Networking a predatory journal?
PubScope has no integrity flags on record for IEEE Transactions on Machine Learning in Communications and Networking: it is indexed in Web of Science, Scopus, DOAJ, and is not on DOAJ's withdrawn list.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 IEEE Transactions on Machine Learning in Communications and Networking?
IEEE Transactions on Machine Learning in Communications and Networking 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 5.00.
Is IEEE Transactions on Machine Learning in Communications and Networking indexed in Scopus and Web of Science?
IEEE Transactions on Machine Learning in Communications and Networking is indexed in Web of Science, Scopus, DOAJ.
What is the aims and scope of IEEE Transactions on Machine Learning in Communications and Networking?
The IEEE Transactions on Machine Learning in Communications and Networking publishes high-quality manuscripts on advances in machine learning methods for and applications to communications and networking. Furthermore, articles developing novel communication and networking techniques for distributed machine learning algorithms are of interest. Both theoretical contributions (including new theories, techniques, concepts, algorithms, and analyses) and practical contributions (including system experiments, prototypes, and new applications) are encouraged.
How much does it cost to publish in IEEE Transactions on Machine Learning in Communications and Networking?
IEEE Transactions on Machine Learning in Communications and Networking charges an article processing charge (APC) of about $2,160 for open-access publication.
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