Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
Big Data
BIG DATA-US
ISSN / eISSN
2167-6461 / 2167-647X
Aims and 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.
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.
Subject Area
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
COMPUTER SCIENCE, THEORY & METHODS
CiteScore
6.90
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Computer Science - Computer Science Applications | Q1 | #164/792 |
| Computer Science - Information Systems | Q1 | #83/379 |
| Computer Science - Information Systems and Management | Q1 | #31/140 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| Category (Journal Citation Reports 2023) | Quartile |
|---|---|
| COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - SCIE | Q2 |
| COMPUTER SCIENCE, THEORY & METHODS - SCIE | Q1 |
H-index
17
Country/Area of Publication
UNITED STATES
Publisher
Mary Ann Liebert Inc.
Annual Article Volume
40
Open Access
NO
Contact
140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, USA, NY, 10801
Verified Reviews
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