Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.
Journal Home:  Journal Homepage
Editor-in-Chief:  P.P. Chen
scope: Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest.
Print ISSN:  0169-023X
Abstracting and Indexing:  Science Citation Index Expanded. Scopus.
Imapct Factor 2021:  1.5
Subject Area and Category:  Computer Sciences, Civil Engineering, Library and Information Science
Publication Frequency:  Bimonthly
H Index:  89
Q2:  Information Systems and Management
Cite Score:  4.9
Journal Rank(SJR):  0.654
Latest Articles:   Latest Articles in Data & Knowledge Engineering
Guidelines for Authors: Data & Knowledge Engineering Author Guidelines
Paper Submissions: Paper Submissions in Data & Knowledge Engineering
Publisher:  Elsevier Science B.V