Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications
Journal Home: Journal Homepage
Editor-in-Chief: Zoran Obradovic
scope: : Big data industry standards, New technologies being developed specifically for big data, Data acquisition, cleaning, distribution, and best practices, Data protection, privacy, and policy, Business interests from research to product, The changing role of business intelligence, Visualization and design principles of big data infrastructures, Physical interfaces and robotics, Social networking advantages for Facebook, Twitter, Amazon, Google,
Print ISSN: 21676461,
Electronic ISSN: 2167647X
Abstracting and Indexing: Scopus Science Citation Index Expanded
Imapct Factor 2021: 4.426
Subject Area and Category: Computer Science Computer Science Applications Information Systems Decision Sciences Information Systems and Management
Publication Frequency:
H Index: 31
Q1:
Q2: Information Systems and Management
Q3:
Q4:
Cite Score: 4.2
SNIP: 1.647
Journal Rank(SJR): 0.643
Latest Articles: Latest Articles in Big Data
Guidelines for Authors: Big Data Author Guidelines
Paper Submissions: Paper Submissions in Big Data
Publisher: Mary Ann Liebert Inc.
Country: United States
