About the Journal

The Distributed Learning and Broad Applications in Scientific Research (DLBASR) is a peer-reviewed, open-access journal that publishes original research papers, reviews, and brief communications in the field of distributed learning and its numerous applications in scientific research. DLBASR seeks articles from worldwide researchers to promote various perspectives and new methodologies.

Journal Snapshot

Journal Name: Distributed Learning and Broad Applications in Scientific Research (DLBASR)
ISSN: 2458-1232
Impact Factor: 7.2 (By ResearchBib)
Journal Initials: DLBASR
Research Scope: Distributed Learning, Machine Learning, Data Mining, Big Data Analytics, Computational Biology, Environmental Modeling, Scientific Simulations, AI Applications in Science
Publication Mode: Digital (On this Website)
Frequency: Annual (1 Volume a year)
Launch Year: 2015
Review Mode: Double Blind Peer Review
Plagiarism Allowed: 10% (as per Turnitin)
Coverage: Worldwide
Language: English