Statistics & Risk Modeling

Statistics & Risk Modeling 由 Walter de Gruyter 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 Stochastic processes and financial applications、Statistical Methods and Inference、Advanced Statistical Methods and Models 等主题的论文，这 3 个主题约占 26.8%。（根据 OpenAlex 主题统计与中科院分区数据生成）

About this journal ObjectiveStatistics & Risk Modeling (STRM) aims to cover modern methods in statistics and probabilistic modeling, with a strong emphasis on machine learning, particularly statistical learning. The journal focuses on applications in finance, insurance, and related fields, addressing key aspects of modeling and risk management.STRM welcomes contributions that explore the uncertainty, risk, and regulation associated with artificial intelligence, as well as stochastic processes and other relevant statistical methods. We are particularly interested in papers that delve into the mathematical foundations of AI, its applications in statistical modeling, and its role in enhancing risk management strategies. While having a high quality reviewing process we promise fast reports, whenever possible.TopicsStatistical analysis for models in finance and insuranceRisk modeling, in particular credit, market, operational and systemic riskFoundations and Applications of Machine Learni ng and Statistical LearningRisk managementEstimations of risks and risk measuresNonparametric statistical inferenceStatistics of stochastic processesStochastic methods in finance and insuranceUncertainty, Knightian uncertainty, and decision making under uncertaintyComputational Methods in Statistics and Risk AssessmentArticle formatsOriginal research articlesInformation on submission process Your Benefits Your benefits:New results in Machine Learning, statistics and probabilistic methodsState-of-the-art methodological innovationsTheoretical and applicative approachHigh quality peer-reviewcurrent average time to first decision: 60 dayscurrent acceptability rate: 9,1 %Complete Archive AccessAs of 2026, all De Gruyter journal subscriptions include access to every issue, from Volume 1, Issue 1 through to today, meaning subscribers can access even more research at no additional cost. History The journal was founded in 1982 as "Statistics & Decisions" with Helmut Strasser as Editor. In 2008 Georg Pflug became the new Editor, and in 2012, the journal was renamed "Statistics & Risk Modeling." Robert Stelzer took over as Editor and in 2024, Thorsten Schmidt, the current Editor, assumed the role. With this change, the journal added a new focus on machine learning and statistical learning to its scope.

摘自期刊官网 Aims & Scope

研究方向（LetPub）：STATISTICS & PROBABILITY

主编 Thorsten Schmidt出版商官网

中科院期刊分区表

数据库收录

ESCIScopusLetPub

国际期刊预警名单：各版本均未列入LetPub

期刊官网自述收录

MathSciNet出版商官网

其他：EBSCO、ProQuest、Naver、OCLC

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（出版商公布）

0.5出版商官网 · 2026-09-29

五年影响因子（出版商公布）

1出版商官网 · 2026-09-29

CiteScore 2026-06

2.5LetPub · 2026-09-13

CiteScore（出版商公布）

2.5出版商官网 · 2026-09-29

SJR 2026-06

0.24LetPub · 2026-09-13

SNIP 2026-06

0.46LetPub · 2026-09-13

h-index

41OpenAlex · 2026-10-01

i10-index

210OpenAlex · 2026-10-01

两年平均被引

0.45OpenAlex · 2026-10-01

自引率

0%LetPub · 2026-09-13

Gold OA 文章占比

9.09%LetPub · 2026-09-13

发文规模

年文章数

5LetPub · 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。

投稿到首次决定

60 天出版商官网 · 2026-09-29

接收到发表

14 天出版商官网 · 2026-09-29

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。

出版商

Walter de Gruyter

ISSN

2193-1402

电子版 ISSN

2196-7040

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