EPJ Data Science

in Journal   Posted on November 4, 2020 

Journal Ranking & Metrics

Impact Score : 3.63
G2R H-Index : 10
JCR Impact Factor : 2.873
Scopus Citescore : 6.5
SCIMAGO SJR : 0.903
SCIMAGO H-index : 25
Guide2Research Overall Ranking : 269

Journal Information

ISSN :
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

EPJ Data Science publishes original research contributions in the field of Machine Learning & Artificial intelligence. The journal is aimed at scholars, practitioners and scientists who are involved in such subjects of scientific research . EPJ Data Science provides high-quality, original contributions where all submitted articles are peer reviewed to assure the best quality. The journal encourages submissions from the research community where emphasis will be placed on the innovativeness and the practical importance of the reported findings.

EPJ Data Science is indexed at Guide2Research, Web of Science and Scopus. There are many leading researchers who contributed to this journal such as Mirco Musolesi, Licia Capra, Daniele Quercia and Alex Sandy Pentland

For more details on the rules and submission provisions for authors, it is recommended to visit the official website for the journal for EPJ Data Science at https://epjdatascience.springeropen.com/ .