Sankhya-Series B-Applied and Interdisciplinary Statistics
Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
Sankhya-Series B-Applied and Interdisciplinary Statistics
SANKHYA SER B
ISSN / eISSN
0976-8386 / 0976-8394
Aims and Scope
Sankhya, Series A, publishes original, high quality research articles in various areas of modern statistics, such as probability, theoretical statistics, mathematical statistics and machine learning. The areas are interpreted in a broad sense. Articles are judged on the basis of their novelty and technical correctness.
Sankhya, Series B, primarily covers applied and interdisciplinary statistics including data sciences. Applied articles should preferably include analysis of original data of broad interest, novel applications of methodology and development of methods and techniques of immediate practical use. Authoritative reviews and comprehensive discussion articles in areas of vigorous current research are also welcome.
Sankhya, Series B, primarily covers applied and interdisciplinary statistics including data sciences. Applied articles should preferably include analysis of original data of broad interest, novel applications of methodology and development of methods and techniques of immediate practical use. Authoritative reviews and comprehensive discussion articles in areas of vigorous current research are also welcome.
Subject Area
N/A
CiteScore
1.50
View Trend
CiteScore Ranking
Category | Quartile | Rank |
---|---|---|
Mathematics - Statistics and Probability | Q3 | #181/278 |
Mathematics - Statistics, Probability and Uncertainty | Q3 | #110/168 |
Mathematics - Applied Mathematics | Q3 | #426/635 |
Web of Science Core Collection
Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
---|---|
- | - |
Category (Journal Citation Reports 2024) | Quartile |
---|---|
STATISTICS & PROBABILITY | Q4 |
Publisher
Springer Nature
Publication Frequency
2 issues per year
Annual Article Volume
20
Open Access
NO
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