Home›Search›Mathematical Statistics and Learning

Mathematical Statistics and Learning

European Mathematical Society Publishing House · Germany · Est. 2018

ISSN2520-2324

SJR Q1✓ Scopus / SJR✓ DOAJ✓ Open Access

/ 100

Medium Risk

Score Breakdown

✓ Scopus Q1+25

✓ DOAJ Verified+15

Total40

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 ↗

SJR Score

1.953

H-Index

CiteScore

View ↗

Scopus metric · on the journal’s page

SNIP

1.327

Total Works

Total Citations

409

2yr Mean Citedness

0.57

Free JIF 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.

⚡ Speed vs Prestige

How does this journal balance review speed with impact level?

weeks to review

Slow · median is 15 wks

SJR Rank

Top 25% in field

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

APC Cost💎 Diamond OA — Free

Peer ReviewSingle-blind

Review Time~80 weeks

Acceptance Rate—

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

thinkchecksubmit.org

10/12 · 83%

✅

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

✅

APC fees clearly disclosed?

No APC (Free)

✅

Not on predatory/blacklists?

✓ Clean

✅

Long-term digital preservation?

CLOCKSS

❌

Plagiarism detection in place?

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Publication & Citation Trend

Articles published

Times cited

2019

2020

2021

2022

2023

2024

2025

2026

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

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