Journal of Big Data

SJR Rank #1,499H-index: 108SJR: 1.964Best quartile: Q1Open AccessAPC: US$2,290Listed in DOAJ

Journal website: aims, scope and author guidelines

Publisher

Springer Nature

Country

Switzerland

Type

journal

SJR by Edition

Subject Categories

Computer Networks and CommunicationsQ1
Hardware and ArchitectureQ1
Information SystemsQ1
Information Systems and ManagementQ1

Areas: Computer Science · Decision Sciences

Most published research topics

Anomaly Detection Techniques and ApplicationsImbalanced Data Classification TechniquesNetwork Security and Intrusion DetectionSentiment Analysis and Opinion MiningMachine Learning and Data ClassificationTopic ModelingBig Data and Business IntelligenceCloud Computing and Resource ManagementComplex Network Analysis TechniquesData Stream Mining Techniques

Source: OpenAlex

Publication Statistics

Documents per Year

Detailed Information

ISSN

2196-1115

SJR Best Quartile

Region

Western Europe

Citations per Document (2 years)

15.36

References per Document

61.42

Coverage

2014-2026

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; 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. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.

Metrics from SCImago Journal Rank 2025. View on SCImago