Home›Search›Proceedings - International Conference on Data Engineering
Proceedings - International Conference on Data Engineering
IEEE Computer Society · United States · Est. 2009
ISSN2375-0286
SJR -✓ Scopus / SJR
0
/ 100
High Risk
Score Breakdown
No verified metrics
Total0
Journal Impact Factor
Not on record at PubScope. The Journal Impact Factor is published by Clarivate for Web of Science (JCR)–indexed journals.
SJR Score
1.165
H-Index
49
SNIP
1.578
Total Works
215
Total Citations
8,707
2yr Mean Citedness
0.00
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Aims & Scope✦ Inferred from recent articles
This journal focuses on the development and analysis of systems and algorithms for managing and querying large and complex datasets. Topics include declarative languages for data management and security, efficient query processing for various data types like social networks, medical information, and spatial data, and handling uncertainty and probabilistic data. The journal also covers parallel processing, data stream analysis, and the integration of information retrieval with database techniques.
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⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
-
SJR Rank
Bottom 25%
General Information
Country / RegionUnited States
Primary Language—
1st Year Published2009
Annual Volume~ 215 articles / year
StatusActive (last: 2009)
Total Publications215
Publisher OrgInstitute of Electrical and Electronics Engineers
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Information SystemsUnranked
Signal ProcessingUnranked
SoftwareUnranked
Subject Classification
Scopus Categories
Information SystemsSoftwareSignal Processing
Research Topics (OpenAlex)
Data Management and AlgorithmsAdvanced Database Systems and QueriesSemantic Web and OntologiesPeer-to-Peer Network TechnologiesData Quality and ManagementData Mining Algorithms and ApplicationsCryptography and Data SecurityPrivacy-Preserving Technologies in DataDistributed systems and fault toleranceWeb Data Mining and Analysis