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Annual Review of Statistics and Its Application

ANNU REV STAT APPL

Print ISSN 2326-8298 Online ISSN 2326-831X
SCIE Q1 新锐1区 Top期刊 综述期刊 数学
影响因子 2026
9.8
↑ 1.1
5年均分
14
5-Year IF
H 指数
18
H-Index
年发文量
22
Articles / Year
出刊频率
—
Pub. Frequency
创刊年份
2000
Founded Year
出版商
Annual Reviews
Publisher
出版国家
USA
Country
投稿参考 & 用户评分
🏆 期刊声誉
★★★★★
暂无
综合口碑评分,点击星星参与
⚡ 审稿速度
★★★★★
暂无
暂无实测数据,欢迎分享经验
💰 版面费用
★★★★★
暂无
暂无APC数据,欢迎分享经验
中科院分区
2026新锐分区 新体系
大类1区
数学Mathematics
小类1区
数学跨学科应用
中科院2025年分区 传统体系
大类1区
数学Mathematics
小类1区
数学跨学科应用
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%
按 JCI 指标学科分区
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%
Scopus 指标
CiteScore
18.8
综合引用得分
SJR
3.491 Q1
SCImago Journal Rank
SNIP
5.585
Source Normalized Impact
JCI
3.07
Journal Citation Indicator
数据来源:Scopus (CiteScore · SJR · SNIP) · Clarivate (JCI)。指标年份:2026年6月最新版。
期刊简介

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.

历年影响因子 & 年发文量

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