EPJ Data Science
Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
EPJ Data Science
EPJ DATA SCI
ISSN / eISSN
2193-1127 / 2193-1127
Aims and Scope
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.
Subject Area
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
SOCIAL SCIENCES, MATHEMATICAL METHODS
CiteScore
6.10
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Mathematics - Computational Mathematics | Q1 | #20/172 |
| Mathematics - Modeling and Simulation | Q1 | #46/316 |
| Mathematics - Computer Science Applications | Q2 | #200/792 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | Indexed |
| Category (Journal Citation Reports 2023) | Quartile |
|---|---|
| MATHEMATICS, INTERDISCIPLINARY APPLICATIONS - SCIE | Q1 |
| SOCIAL SCIENCES, MATHEMATICAL METHODS - SSCI | Q1 |
H-index
21
Country/Area of Publication
GERMANY
Publisher
Springer Berlin Heidelberg
Year Publication Started
2012
Annual Article Volume
59
Open Access
YES
Contact
ONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, United States, NY, 10004
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