The IEEE Transactions on Big Data publishes peer reviewed articles with big data as the main focus. The articles provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. Research areas for big data include, but are not restricted to, big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure, big data standards, big data performance analyses, intelligence from big data, scientific discovery from big data security, privacy and legal issues specific to big data. Applications of big data in the fields of endeavor where massive data is generated are of particular interest.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Institute of Electrical and Electronics Engineers Inc.
✅
Does the journal have a website?
✓ Linked
✅
Is the ISSN verified?
2332-7790 / 2332-7790
✅
Indexed in a trusted database?
WoS, Scopus
✅
Peer review process documented?
single and/or double anonymous
❌
Follows ethical publishing standards (COPE)?
N/A
✅
APC fees clearly disclosed?
$2,800
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Not on predatory/blacklists?
✓ Clean
❌
Long-term digital preservation?
N/A
✅
Plagiarism detection in place?
Yes
❌
Listed in DOAJ (verified OA)?
N/A
✅
Primary language documented?
English
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Information SystemsQ1
Information Systems and ManagementQ1
Subject Classification
Web of Science Categories
Computer Science, Information SystemsComputer Science, Theory & Methods
Scopus Categories
Information Systems and ManagementInformation Systems
Research Topics (OpenAlex)
Privacy-Preserving Technologies in DataAdvanced Graph Neural NetworksComplex Network Analysis TechniquesHuman Mobility and Location-Based AnalysisCryptography and Data SecurityData Management and AlgorithmsRecommender Systems and TechniquesTopic ModelingCloud Computing and Resource ManagementAdvanced Image and Video Retrieval Techniques