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
Q1:  Modeling and Simulation
Q2:  
Q3:  
Q4:  
Cite Score:  6.5
SNIP:  1.651
Journal Rank(SJR):  1.071
Latest Articles:   Latest Articles in EPJ Data Science
Guidelines for Authors: EPJ Data Science Author Guidelines
Paper Submissions: Paper Submissions in EPJ Data Science
Publisher:  Springer Science and Business Media
Country:  United States