The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems.
Journal Home: Journal Homepage
Editor-in-Chief: Borko Furht
scope: The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization.
Print ISSN: 2196-1115
Electronic ISSN:
Abstracting and Indexing: Scopus
Imapct Factor :
Subject Area and Category: Computer Science,Computer Networks and Communications,Hardware and Architecture,Information Systems,Decision Sciences,Information Systems and Management
Publication Frequency:
H Index: 45
Q1: Information Systems and Management
Q2:
Q3:
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Cite Score: 14.4
SNIP: 4.661
Journal Rank(SJR): 2.592
Latest Articles: Latest Articles in Journal of Big Data
Guidelines for Authors: Journal of Big Data Author Guidelines
Paper Submissions: Paper Submissions in Journal of Big Data
Publisher: Springer Open
Country: United Kingdom
