EPJ Data Science
期刊ISSN: 2193-1127
E-ISSN: -
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自引率: 4.2%
SCI期刊JCR分区
SCI期刊JCR分区等级:1区
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MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Q1
SOCIAL SCIENCES, MATHEMATICAL METHODS
Q1
最新中科院SCI期刊分区(基础版)
大类学科
工程技术
3区
小类学科
数学跨学科应用
2区
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最新中科院SCI期刊分区(升级版)
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计算机科学
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小类学科
数学跨学科应用
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社会科学:数理方法
3区
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期刊简介
EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
出版信息
出版商
Springer Berlin Heidelberg
涉及的研究方向
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS -
年文章数
56
出版国家或地区
GERMANY
是否OA
Cite Score相关
Cite Score SJR SNIP 排名
6.5 1.071 1.651
学科
大类学科:Mathematics
小类学科:Computational Mathematics
分区
Q1
学科
大类学科:Mathematics
小类学科:Modeling and Simulation
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Q1
学科
大类学科:Mathematics
小类学科:Computer Science Applications
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Q1
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