EPJ Data Science

EPJ Data Science 由 Springer Berlin Heidelberg 出版，属中科院计算机科学大类（2025 升级版2区）。按 OpenAlex 近年发文统计，该刊主要发表 Complex Network Analysis Techniques、Human Mobility and Location-Based Analysis、Opinion Dynamics and Social Influence 等主题的论文，这 3 个主题约占 40.5%。（根据 OpenAlex 主题统计与中科院分区数据生成）

• 运用数据科学分析复杂社会经济系统 • 欧洲物理期刊（EPJ）系列期刊成员 • 开放获取(OA) 为您的研究带来更广泛的全球影响力 Springer 覆盖科学、技术、医学及社会科学等广泛学科领域, 既支持基础研究, 也服务于现实应用需求。依托成熟稳健的学术出版传统, Springer 将专业学术社群与可应用的知识成果紧密连接。

The 21st century is witnessing the establishment of data-driven science as a complementary approach to the traditional hypothesis-driven method. This (r)evolution accompanying the paradigm shift from reductionism to complex systems sciences has already transformed the natural sciences and is about to bring the same changes to the techno-socio-economic sciences, viewed broadly. EPJ Data Science offers a publication platform to showcase the latest contributions to the study of techno-socio-economic systems, wherein “digital traces” of human activity and their derivative models are used as first-order objects for the investigation. Specifically, the focus of the journal is on analyzing and synthesizing massive data sets and models learning from them to achieve new insights into societal phenomena and behavior. Application domains include, but are not limited to, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, generative language models, as well as general risk and crisis scenario forecasting up to and including policy advice. Methodologically, EPJ Data Science welcomes approaches from a broad range of disciplines, spanning statistically rigorous analysis of data, social network analysis, complex systems, applied machine learning, and more. Papers submitted to this journal should not only strive to improve on existing data science methodologies and models but must provide new insight into human or social behavior or systems, in the areas outlined above. Submissions that focus on purely descriptive statistics or apply standard techniques to mainstream datasets or modelling approaches are unlikely to be considered for publication. Thus, EPJ Data Science offers a publication platform to bring together diverse academic disciplines concerned with challenges around: How to extract signals about techno-socio-economic systems from large, complex data How to interpret these signals in the theoretical context of the relevant disciplines How to find new empirical laws, or fundamental theories, concerning how societies work How to study predictive and generative models trained on digital traces of human behavior, for example Large Language Models

摘自期刊官网 Aims & Scope

研究方向（LetPub）：MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

主编 David Garcia出版商官网

编委会国家分布：中国大陆 1 位（约 1%）；主要国家 意大利 14、美国 13、英国 7、德国 6、法国 3（共 68 位编委标注了国家） 编委会 ↗出版商官网 · 2026-09-29

中科院期刊分区表

数据库收录

SCIESSCIScopusDOAJLetPub

国际期刊预警名单：各版本均未列入LetPub

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

3.16LetPub · 2026-09-13

CiteScore 2026-06

5.3LetPub · 2026-09-13

SJR 2026-06

0.65LetPub · 2026-09-13

SNIP 2026-06

1.37LetPub · 2026-09-13

h-index

21LetPub · 2026-09-13

h-index

66OpenAlex · 2026-10-01

i10-index

361OpenAlex · 2026-10-01

两年平均被引

4.16OpenAlex · 2026-10-01

自引率

3.2%LetPub · 2026-09-13

Gold OA 文章占比

100%LetPub · 2026-09-13

发文规模

年文章数

92LetPub · 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）

13 WeeksLetPub · 2026-09-13

投稿到发表（期刊自报）

约 13 周DOAJ · 2026-10-11

评审方式

单盲同行评审DOAJ

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。

• APC 费用说明 ↗DOAJ
• 费用减免政策 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ

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

Springer Berlin Heidelberg

出版国家或地区

GERMANY

出版语言

English

创刊年份

2012

ISSN

2193-1127

官方链接

• 期刊主页 ↗DOAJ
• 投稿系统 ↗出版商官网
• 作者指南 ↗LetPub
• Aims & Scope ↗LetPub
• 专刊 / 特刊征稿 ↗出版商官网
• APC 费用说明 ↗DOAJ
• 费用减免政策 ↗DOAJ
• 开放获取声明 ↗DOAJ
• 许可与版权 ↗DOAJ
• 评审流程 ↗LetPub
• 编委会 ↗LetPub
• 查重政策 ↗DOAJ