Big Data

SJR Rank #12,913H-index: 47SJR: 0.454Best quartile: Q2
Publisher

Mary Ann Liebert Inc.

Country

United States

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Information SystemsQ2
  • Information Systems and ManagementQ2
  • Computer Science ApplicationsQ3

Areas: Computer Science · Decision Sciences

Most published research topics

Big Data and Business IntelligenceCloud Computing and Resource ManagementBig Data Technologies and ApplicationsComplex Network Analysis TechniquesData Quality and ManagementIoT and Edge/Fog ComputingData Management and AlgorithmsAnomaly Detection Techniques and ApplicationsPrivacy-Preserving Technologies in DataData Visualization and Analytics

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0306090120

Documents per Year

20222025015304560

Detailed Information

ISSN

2167-6461, 2167-647X

SJR Best Quartile

Q2

Region

Northern America

Citations per Document (2 years)

2.59

References per Document

49.14

Coverage

2013-2026

Scope

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 within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government. Big Data coverage includes: 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, etc, Opportunities around big data and how companies can harness it to their advantage.

Metrics from SCImago Journal Rank 2025. View on SCImago