Big Data Research
Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
Big Data Research
BIG DATA RES
ISSN / eISSN
2214-5796
Aims and Scope
The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic.
The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.
The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.
Subject Area
COMPUTER SCIENCE, THEORY & METHODS
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
5.00
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Business, Management and Accounting - Management Information Systems | Q1 | #30/127 |
| Business, Management and Accounting - Information Systems and Management | Q2 | #39/140 |
| Business, Management and Accounting - Information Systems | Q2 | #125/379 |
| Business, Management and Accounting - Computer Science Applications | Q2 | #262/792 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| Category (Journal Citation Reports 2023) | Quartile |
|---|---|
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE | Q3 |
| COMPUTER SCIENCE, INFORMATION SYSTEMS - SCIE | Q3 |
| COMPUTER SCIENCE, THEORY & METHODS - SCIE | Q2 |
Country/Area of Publication
United States
Publisher
Elsevier Inc.
Annual Article Volume
40
Open Access
NO
Contact
RADARWEG 29, AMSTERDAM, NETHERLANDS, 1043 NX
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