ANNU REV STAT APPL
| WoS 期刊 JCR 分区 (2026 · JIF) | 综合 SCIE | Q1 | ||
|---|---|---|---|---|
| 学科 | 收录集 | JIF 分区 | JIF 排名 | JIF 百分位 |
| 数学·交叉应用 Mathematics, Interdisciplinary Applications | SCIE | Q1 | 2/137 |
98.5%
|
| 统计学与概率论 Statistics & Probability | SCIE | Q1 | 2/170 |
98.8%
|
| 学科 | 收录集 | JCI 分区 | JCI 排名 | JCI 百分位 |
|---|---|---|---|---|
| 数学·交叉应用 Mathematics, Interdisciplinary Applications | SCIE | Q1 | 1/126 JCI 3.07 |
100.0%
|
| 统计学与概率论 Statistics & Probability | SCIE | Q1 | 2/156 JCI 3.07 |
99.4%
|
The *Annual Review of Statistics and Its Application* (Abbreviation: *ANNU REV STAT APPL*; ISSN: 2326-8298) is a premier peer-reviewed journal published by Annual Reviews, a nonprofit scientific publisher dedicated to synthesizing and integrating research. As indicated by its 2026 Impact Factor of 9.8000 and its placement in the JCR Q1 quartile, the journal holds a distinguished position as a leading resource in the statistical sciences. Its scope is broad and interdisciplinary, encompassing critical developments in theoretical statistics, statistical methodology, and the practical application of statistical principles across diverse fields such as biology, economics, engineering, environmental science, medicine, and the social sciences. The journal exclusively publishes high-quality, authoritative review articles, including both comprehensive literature reviews and forward-looking perspectives on emerging topics. These articles are written by invited experts and are designed to synthesize the current state of knowledge, identify key trends, and highlight unresolved challenges. The primary target audience includes academic researchers, professional statisticians, data scientists, and graduate students who seek to stay abreast of major advances without needing to sift through the primary literature. A notable feature is the journal’s commitment to accessibility; while not fully open access by default, it offers open access options for authors and provides a rich archive of content. Its consistently high impact factor and Q1 ranking underscore its exceptional reputation, making it an indispensable reference for anyone engaged in the development or application of statistical methods.