EPJ Data Science

  in Journal   Posted on September 23, 2020

Journal Ranking & Metrics

G2R Score : 3.63
G2R H-Index : 10
JCR Impact Factor : 2.873
Scopus Citescore : 6.5
SCIMAGO H-index : 25
Guide2Research Overall Ranking : 272

Journal Information

Publisher :
Editors-in-Chief : Editor-in-Chief: Markus Strohmaier, Advisory Editors: Frank Schweitzer, Editors: Luca Maria Aiello
Journal & Submission Website : https://epjdatascience.springeropen.com/

Top Scientists who published in this Journal

Number of top scientists* : 18
Documents published by top scientists* : 20
* Based on data published during the last three years.

Aims & Scope of the Journal

The 21st century is currently witnessing the establishment of data-driven science as a complementary approach to the traditional hypothesis-driven method. This (r)evolution accompanying the paradigm shift from reductionism to complex systems sciences has already largely transformed the natural sciences and is about to bring the same changes to the techno-socio-economic sciences, viewed broadly.EPJ Data Science offers a publication platform to address this evolution by bringing together all academic disciplines concerned with the same challenges:how to extract meaningful data from systems with ever increasing complexityhow to analyse them in a way that allows new insightshow to generate data that is needed but not yet availablehow to find new empirical laws, or more fundamental theories, concerning how any natural or artificial (complex) systems workThis is accomplished through experiments and simulations, by data mining or by enriching data in a novel way. The focus of this journal is on conceptually new scientific methods for analyzing and synthesizing massive data sets, and on fresh ideas to link these insights to theory building and corresponding computer simulations. As such, articles mainly applying classical statistics tools to data sets or with a focus on programming and related software issues are outside the scope of this journal.EPJ…