HomeSearchMathematical Statistics and Learning

Mathematical Statistics and Learning

European Mathematical Society Publishing House · Germany · Est. 2018

ISSN2520-2324
SJR Q1Scopus / SJRDOAJOpen Access
Journal Impact Factor
Not on record at PubScope. The Journal Impact Factor is published by Clarivate for Web of Science (JCR)–indexed journals. If this journal has one, it appears on the journal’s page ↗
📊 Standing in its field
Where this journal ranks among others in the same subject area.
Q1
SJR · Scopus
Top 25% in field
Clarivate’s JCR quartile is a separate ranking and may differ
SJR Scorei
0.961
H-Indexi
11
SNIPi
1.327
Total Worksi
56
Total Citationsi
409
2yr Mean Citednessi
0.57
Open Impact Factor alternative

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

Country / RegionGermany
Primary LanguageEnglish
1st Year Published2018
Frequencyfour issues per volume
StatusActive (last: 2025)
Total Publications56
OA Since2020
Visit Journal Website

Submission Info

Peer ReviewSingle-blind
OA LicenseCC BY
OA Rate

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes
Plagiarism Detection✗ No
📦 Long-term Preservation
CLOCKSS

Think.Check.Submit Compliance

9/11 · 82%
Do you know the journal / publisher?
European Mathematical Society Publishing House
Does the journal have a website?
✓ Linked
Is the ISSN verified?
2520-2324
Indexed in a trusted database?
Scopus, DOAJ
Peer review process documented?
Single-blind
Follows ethical publishing standards (COPE)?
N/A
Not on predatory/blacklists?
✓ Clean
Long-term digital preservation?
CLOCKSS
Plagiarism detection in place?
No
Listed in DOAJ (verified OA)?
DOAJ verified
Primary language documented?
English

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

Articles published
Citations received
3
47
2019
8
127
2020
7
43
2021
12
95
2022
5
54
2023
4
2
2024
7
4
2025
5
4
2026

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.

Computational Theory and MathematicsQ1
Signal ProcessingQ1
Statistics and ProbabilityQ1
Theoretical Computer ScienceQ1

Subject Classification

Scopus Categories

Theoretical Computer ScienceComputational Theory and MathematicsSignal ProcessingStatistics and Probability

Research Topics (OpenAlex)

Statistical Methods and InferenceSparse and Compressive Sensing TechniquesMachine Learning and AlgorithmsBayesian Methods and Mixture ModelsRandom Matrices and ApplicationsAdvanced Statistical Methods and ModelsComplex Network Analysis TechniquesComplexity and Algorithms in GraphsNumerical methods in inverse problemsModel Reduction and Neural Networks

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.

Compare This JournalFind Similar← Back to Search
Understand these signals
How to tell if a journal is predatoryWhat Q1–Q4 quartiles meanWeb of Science vs Scopus vs DOAJWhat is an APC?

Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref