Mathematical Statistics and Learning
Q1 Journal
Open Access
Diamond OA
Journal
Country
Germany
Western Europe
Subject Area and Category
Computer Science
└
Computational Theory and Mathematics
Q1
└
Signal Processing
Q1
└
Statistics and Probability
Q1
SJR 2025
0.961
Q1
SJR Score
H-Index
11
Citations / Doc (2yr)
1.80
Total Docs. (latest)
7
Total Citations (3yr)
25
Publication type
Journals
ISSN
25202324, 25202316
Coverage
2018-2025
Journal Rank
#5,212
Subject Categories
Computational Theory and Mathematics
Q1
Signal Processing
Q1
Statistics and Probability
Q1
Theoretical Computer Science
Q1
Subject Areas
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.
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Detailed Metrics
| Total Docs. (latest) | 7 |
| Total Docs. (3 years) | 16 |
| Total Refs. | 297 |
| Total Citations (3 years) | 25 |
| Citable Docs. (3 years) | 16 |
| Citations / Doc. (2 years) | 1.80 |
| Ref. / Doc. | 42.43 |
| % Female | 16.7% |
Metrics Visualization
Latest year data vs 3-year cumulative figures
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