SCIESCOPUSQ2
ACM Journal of Data and Information Quality
ASSOC COMPUTING MACHINERY, United States
ACM Journal of Data and Information Quality is an academic journal published by ASSOC COMPUTING MACHINERY (United States). Identifiers: ISSN 1936-1955, eISSN 1936-1963. Indexed in SCIE, SCOPUS. Metrics: JIF 2.9, CiteScore 5.9, SJR 0.565, SNIP 0.99. Subject areas: COMPUTER SCIENCE, INFORMATION SYSTEMS. tlooto lists 145 papers from this journal.
CiteScore
5.90
Scopus citation metric
SJR
0.565
SCImago rank
SNIP
0.99
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 1936-1955
- eISSN
- 1936-1963
- Abbreviation
- ACM J DATA INF QUAL
- Publisher
- ASSOC COMPUTING MACHINERY
- Country
- United States
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
17101802 Information Systems and Management
Papers in this journal
Recent papers
- Variable-Length Anomalous Intervals in Data Streams
2026
- Improving Document Quality via Updatable Extracted Views
2026
- Measuring the (lack of) quality of disinformation.
2026
- Beyond one-time relabeling: A sample inspection framework for correcting noisy labels in both classification and regression tasks
2026
- PraeclarusPDQ: A Reference Architecture for Process Data Quality Management
2026
Most cited papers
- Biases in Large Language Models: Origins, Inventory, and Discussion
2023 · 513 citations
- A Survey of Data Quality Requirements That Matter in ML Development Pipelines
2023 · 73 citations
- A Survey on Classifying Big Data with Label Noise
2022 · 42 citations
- Government Big Data Ecosystem: Definitions, Types of Data, Actors, and Roles and the Impact in Public Administrations
2021 · 36 citations
- A Survey on Edge Intelligence and Lightweight Machine Learning Support for Future Applications and Services
2023 · 32 citations