Statistica Sinica
Published by Institute of Statistical Science
ISSN : 1017-0405
Abbreviation : Stat. Sin.
Aims & Scope
Statistica Sinica aims to meet the needs of statisticians in a rapidly changing world.
It provides a forum for the publication of innovative work of high quality in all areas of statistics, including theory, methodology and applications.
The journal encourages the development and principled use of statistical methodology that is relevant for society, science and technology.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 1.2 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 1.101 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 90 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 4132 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 493 |
Impact Factor Trend
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 Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Estimation and variable selection for semiparametric additive partial linear models
Citation: 93
Authors: Xiang, Li, Hua
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Variable selection and estimation in high-dimensional varying-coefficient models
Citation: 93
Authors: Fengrong, Jian, Hongzhe
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Asymptotics for general multivariate kernel density derivative estimators
Citation: 86
Authors: José E., Tarn, M. P.
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A stepwise regression method and consistent model selection for high-dimensional sparse linear models
Citation: 81
Authors: Ching-Kang, Tze Leung
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Surface estimation, variable selection, and the nonparametric oracle property
Citation: 79
Authors: Curtis B., Howard D., Brian J., Hao Helen
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Simultaneous confidence bands for nonparametric regression with functional data
Citation: 76
Authors: David A.