Knowledge and Information Systems
Published by Springer Nature
ISSN : 0219-1377 eISSN : 0219-3116
Abbreviation : Knowl. Inf. Syst.
Aims & Scope
Knowledge and Information Systems (KAIS) provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to knowledge systems and advanced information systems.
This bi-monthly peer-reviewed archival journal publishes state-of-the-art research reports on emerging topics in KAIS, reviews of important techniques in related areas, and application papers of interest to a general readership.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 3.1 |
2024 | 2.50 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.827 |
Quartile
Year | Value |
---|---|
2024 | Q2 |
h-index
Year | Value |
---|---|
2024 | 100 |
Journal Rank
Year | Value |
---|---|
2024 | 6470 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 2006 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Top 10 algorithms in data mining
Citation: 4028
Authors: Xindong, Vipin, J., Joydeep, Qiang, Hiroshi, Geoffrey J., Angus, Bing, Philip S., Zhi-Hua, Michael, David J., Dan
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Explaining prediction models and individual predictions with feature contributions
Citation: 1547
Authors: Erik, Igor
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Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
Citation: 1077
Authors: Eamonn, Kaushik, Michael, Sharad
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Defining and evaluating network communities based on ground-truth
Citation: 882
Authors: Jaewon, Jure
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A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques
Citation: 861
Authors: Carlos A.
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Data preprocessing techniques for classification without discrimination
Citation: 802
Authors: Faisal, Toon
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A review of feature selection methods on synthetic data
Citation: 630
Authors: Verónica, Noelia, Amparo
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Data Preparation for Mining World Wide Web Browsing Patterns
Citation: 599
Authors: Robert, Bamshad, Jaideep