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exaly
›
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Data and Knowledge Engineering
›
Top Articles
Data and Knowledge Engineering
1.5
(top 11%)
Impact Factor
1.8
(top 11%)
extended IF
83
(top 4%)
H-Index
790
authors
1.7K
papers
37.4K
citations
2.5K
citing journals
12K
citing authors
Most Cited Articles of Data and Knowledge Engineering
Title
Year
Citations
Knowledge engineering: Principles and methods
1998
1.6K
Workflow mining: A survey of issues and approaches
2003
653
ST-DBSCAN: An algorithm for clustering spatial–temporal data
2007
647
Case handling: a new paradigm for business process support
2005
476
Change patterns and change support features – Enhancing flexibility in process-aware information systems
2008
377
A conceptual view on trajectories
2008
370
Methodologies, tools and languages for building ontologies. Where is their meeting point?
2003
354
A k-mean clustering algorithm for mixed numeric and categorical data
2007
343
IT support for healthcare processes – premises, challenges, perspectives
2007
316
Computing iceberg concept lattices with Titanic
2002
268
Correctness criteria for dynamic changes in workflow systems––a survey
2004
254
How do practitioners use conceptual modeling in practice?
2006
249
Snoop: An expressive event specification language for active databases
1994
244
Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions
2005
237
Mining itemset utilities from transaction databases
2006
234
Frameworks for entity matching: A comparison
2010
228
On the representation of roles in object-oriented and conceptual modelling
2000
203
A data mining approach for location prediction in mobile environments
2005
199
AgentWork: a workflow system supporting rule-based workflow adaptation
2004
191
Isolated items discarding strategy for discovering high utility itemsets
2008
185
Workflow evolution
1998
184
A semiotic metrics suite for assessing the quality of ontologies
2005
183
Semantic integration of heterogeneous information sources
2001
176
SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks
2000
174
A UML profile for multidimensional modeling in data warehouses
2006
173
previous
2006
2007
2008
How are inpact factors calculated?
The impact factor (IF) is calculated by counting citations from peer-reviewed journals only.
extended IF
also counts citations from books and conference papers. However, no patent, abstract, working papers, online documents, etc., are covered.
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