SCIESSCISCOPUSQ1
EPJ Data Science
SPRINGER, United States
EPJ Data Science is an academic journal published by SPRINGER (United States). Identifiers: eISSN 2193-1127. Indexed in SCIE, SSCI, SCOPUS. Metrics: JIF 2.5, CiteScore 6.2, SJR 0.742, SNIP 1.29. Subject areas: INTERDISCIPLINARY APPLICATIONS, MATHEMATICAL METHODS, MATHEMATICS, SOCIAL SCIENCES. tlooto lists 897 papers from this journal.
CiteScore
6.20
Scopus citation metric
SJR
0.742
SCImago rank
SNIP
1.29
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- -
- eISSN
- 2193-1127
- Abbreviation
- EPJ DATA SCI
- Publisher
- SPRINGER
- Country
- United States
Web of Science categories
SCIEINTERDISCIPLINARY APPLICATIONS, MATHEMATICS
SSCIMATHEMATICAL METHODS, SOCIAL SCIENCES
Scopus ASJC categories
17062605 Computational Mathematics2611 Modeling and Simulation
Keywords
Mathematics, Interdisciplinary ApplicationsSocial Sciences, Mathematical Methods
Papers in this journal
Recent papers
- Connective action and digital repression during China's COVID-19 protests: a computational analysis of multilingual coordinated activity on Twitter
2026
- Mapping violence perceptions through YouTube comments: a new approach to real-time violence monitoring
2026
- Understanding the spatial and temporal impact of global events through large-scale social media data
2026
- Recovering scheduling preferences in dynamic departure time models
2026
- Not your mean green: beyond averages in mapping socio-spatial inequities in urban greenery for smart cities
2026 · 1 citations
Most cited papers
- A roadmap for the computation of persistent homology
2015 · 856 citations
- A survey of results on mobile phone datasets analysis
2015 · 623 citations
- Instagram photos reveal predictive markers of depression
2016 · 477 citations
- The emotional arcs of stories are dominated by six basic shapes
2016 · 439 citations
- Us and them: identifying cyber hate on Twitter across multiple protected characteristics
2016 · 393 citations