Journal of the Royal Statistical Society Series C (Applied Statistics)

Journal of the Royal Statistical Society Series C (Applied Statistics) 由 Wiley-Blackwell Publishing Ltd 出版，属中科院数学大类（2025 升级版4区）。按 OpenAlex 近年发文统计，该刊主要发表 Advanced Statistical Methods and Models、Statistical Methods and Bayesian Inference、Statistical Methods and Inference 等主题的论文，这 3 个主题约占 35.6%，主导子领域为 Statistics and Probability。（根据 OpenAlex 主题统计与中科院分区数据生成）

Series C seeks to publish papers that are tackling genuine problems in applied statistics, i.e. where applications are central to the paper and provide the motivation for the work presented. This usually implies that the specific application under study will also be mentioned in the title, and should figure prominently in abstract, introduction and discussion as well as in other parts of the paper. In essence, papers should directly engage with the application and should clearly indicate what additional insights into the applied problem have been gained by applying the suggested methodology. This also implies that some technical details, derivations and proofs might not form part of the main body of the text, but might be moved into supplementary material. Series C papers make a novel contribution to statistics by adapting or developing new statistical methodology for a specific applied context, or by demonstrating the innovative combination of existing advanced statistical methods. JRSS-C also accepts papers on computational statistics, machine learning and data science, if they are engaging with an application as outlined above. Papers where the application merely serves as an illustration for new methodology or papers that use well-established statistical methods to analyze data are not suitable for JRSS-C. Similarly, papers that only contain brief numerical illustrations or focus exclusively on simulation studies are not suitable, although numerical illustrations and simulations may of course form part of a JRSS-C paper. In terms of application areas and methodologies, Series C tries to be as broad as possible and therefore covers the whole range of interdisciplinary fields where statistics is applied, including but being by no means limited to agriculture, biology, chemistry, ecology, economics, genetics, industry, medicine, physics, and social sciences.

摘自期刊官网 Aims & Scope

研究方向（LetPub）：数学-统计学与概率论

编委会国家分布：未见中国大陆编委；主要国家 德国 6、英国 5、美国 4、意大利 3、加拿大 2（共 35 位编委标注了国家） 编委会 ↗出版商官网 · 2026-09-30

中科院期刊分区表

数据库收录

SCIEScopusLetPub

国际期刊预警名单：各版本均未列入LetPub

期刊官网自述收录

INSPECPsycINFOCAB AbstractsMathSciNetzbMATHGeoRefCurrent Contents出版商官网

其他：ProQuest、AGRICOLA

期刊官网列出的收录清单，未与各数据库逐一核对；Web of Science 各子库以上方记录为准。

不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。

影响力指标

影响因子

1.38LetPub · 2026-09-13

影响因子（出版商公布） 2025

1.8出版商官网 · 2026-09-30

CiteScore 2026-06

2.6LetPub · 2026-09-13

SJR 2026-06

0.73LetPub · 2026-09-13

SNIP 2026-06

0.88LetPub · 2026-09-13

h-index

67LetPub · 2026-09-13

h-index

194OpenAlex · 2026-10-01

i10-index

2,011OpenAlex · 2026-10-01

两年平均被引

1.66OpenAlex · 2026-10-01

自引率

0%LetPub · 2026-09-13

Gold OA 文章占比

43.4%LetPub · 2026-09-13

发文规模

年文章数

67LetPub · 2026-09-13

不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。

其他来源

平均审稿速度（社区反馈）

>12周，或约稿LetPub · 2026-09-13

平均录用比例（社区反馈）

容易LetPub · 2026-09-13

社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。

混合期刊的文章处理费仅在作者选择开放获取发表时收取；按订阅方式发表通常不收费。

费用以期刊官网为准；不同来源的观测时间可能不同，页面保留各来源原值，不做平均。

摘录来自期刊官网页面，仅保留原文片段；“模型摘要”由 Workers AI 生成并经原文校验，以官网为准。

出版商

Wiley-Blackwell Publishing Ltd

出版国家或地区

ENGLAND

出版语言

English

出版周期

Quarterly

ISSN

0035-9254

电子版 ISSN

1467-9876

官网最新一期

Volume 75, Issue 4（2026 年 11 月）

官方链接

• 期刊主页 ↗OpenAlex
• 投稿系统 ↗出版商官网
• 专刊 / 特刊征稿 ↗出版商官网