Data Mining and Knowledge Discovery

  in Journal   Posted on November 4, 2020

Journal Ranking & Metrics

Impact Score : 4.12
G2R H-Index : 15
JCR Impact Factor : 2.629
Scopus Citescore : 7.4
SCIMAGO SJR : 1.052
SCIMAGO H-index : 96
Guide2Research Overall Ranking : 283

Journal Information

ISSN : 1384-5810
Publisher :
Periodicity : Bimonthly
Editors-in-Chief : Johannes Fürnkranz
Journal & Submission Website : https://www.springer.com/journal/10618

Top Scientists who published in this Journal

Number of top scientists* : 41
Documents published by top scientists* : 53
* Based on data published during the last three years.

Aims & Scope of the Journal

Data Mining and Knowledge Discovery grants a forum for the dissemination of innovative research findings in the rapidly growing aras of Databases & Information Systems and Machine Learning & Artificial intelligence . Data Mining and Knowledge Discovery publishes high-quality, original articles where all submitted articles are peer reviewed to ensure the best quality. The journal encourages submissions from the research community where the priority will be on the innovativeness and the practical impact of the reported findings.

Data Mining and Knowledge Discovery is listed at Guide2Research, Web of Science and Scopus. There are many top scientists who contributed to this journal such as Eamonn Keogh, Geoff Webb, Tao Li and Dennis Shasha

For extra information on the instructions and submission provisions for authors, you are advised to visit the journal website for Data Mining and Knowledge Discovery at https://www.springer.com/journal/10618 .

Special Issues on this journal