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EPJ Data Science Journal - Springer Nature | 2021 Impact Factor:3.630|Cite Score:6.5|Q1

EPJ Data Science Journal

Impact Factor and Journal Rank of EPJ Data Science Journal

About:

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.

Journal Home:  Journal Homepage

Editor-in-Chief:  Markus Strohmaier,

scope: 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.

Print ISSN:  21931127

Electronic ISSN:  

Abstracting and Indexing:  Scopus SCience Citation Index Expanded

Imapct Factor 2021:  3.630

Subject Area and Category:   Computer Science Computer Science Applications Mathematics Computational Mathematics Modeling and Simulation

Publication Frequency:  

H Index:  34

Best Quartile:

Q1:  Modeling and Simulation

Q2:  

Q3:  

Q4:  

Cite Score:  6.5

SNIP:  1.651

Journal Rank(SJR):  1.071

Guidelines for Authors: EPJ Data Science Author Guidelines

Publisher:  Springer Science and Business Media

Country:  United States