Mathematical Statistics and Learning
European Mathematical Society Publishing House · Germany · Est. 2018
Aims & Scope
Mathematical Statistics and Learning is devoted to research articles of the highest quality in all aspects of mathematical statistics and learning, including those studied in traditional areas of statistics and in machine learning as well as in theoretical computer science and signal processing.
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Subject Classification
Scopus Categories
Research Topics (OpenAlex)
Frequently asked questions about Mathematical Statistics and Learning
Is Mathematical Statistics and Learning a predatory journal?
PubScope has no integrity flags on record for Mathematical Statistics and Learning: it is indexed in Scopus, DOAJ, and is not on DOAJ's withdrawn list. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.
What is the impact factor of Mathematical Statistics and Learning?
Mathematical Statistics and Learning is not in the Web of Science Core Collection, so it has no official Clarivate Journal Impact Factor. Its SCImago SJR score is 0.961.
Is Mathematical Statistics and Learning indexed in Scopus and Web of Science?
Mathematical Statistics and Learning is indexed in Scopus, DOAJ.
What is the aims and scope of Mathematical Statistics and Learning?
Mathematical Statistics and Learning is devoted to research articles of the highest quality in all aspects of mathematical statistics and learning, including those studied in traditional areas of statistics and in machine learning as well as in theoretical computer science and signal processing.
You May Also Like
See all →Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref