Japanese Journal of Statistics and Data Science
Published by Springer Nature
eISSN : 2520-8764
Abbreviation : Jpn. J. Stat. Data Sci.
Aims & Scope
The aim of the Japanese Journal of Statistics and Data Science (JJSD) is to publish original articles concerning statistical theories and novel applications in diverse research fields related to statistics and data science.
It also sometimes publishes review and expository articles on specific topics, which are expected to bring valuable information for researchers interested in the fields selected.
The journal also contributes to broadening the coverage of statistics and data analysis in publishing articles based on innovative ideas.
All articles are refereed by experts.
JJSD is published by the Japanese Federation of Statistical Science Associations (JFSSA).
The members of JFSSA are six Japanese statistics-related societies: the Japanese Society of Applied Statistics, the Japanese Society of Computational Statistics, the Biometric Society of Japan, the Behaviormetric Society, the Japan Statistical Society, and the Japanese Classification Society.
These organizations jointly contribute to promoting the prestige of the journal and to ensuring that its readership and circulation are as wide as possible.
This wide coverage provided by six statistics-related societies is a unique feature of the new journal both for contributors and for readers.
The journal is also unique in combining traditional statistical science and relatively new data science.
In order to make JJSD accessible to a wide range of readers, specific sections are planned for each issue of the journal, including sections on theory and methods, biometrics, computational statistics, econometrics, and other research fields.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.601 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q2 |
h-index
| Year | Value |
|---|---|
| 2024 | 9 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 9653 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 139 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.