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Data & Knowledge Engineering

About:

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:

Print ISSN:  0169-023X

Electronic ISSN:  

Abstracting and Indexing:  Science Citation Index Expanded. Scopus.
Imapct Factor 2020:  1.476
Subject Area and Category:  Computer Sciences, Civil Engineering, Library and Information Science
Publication Frequency:  Bimonthly
H Index:  87
Best Quartile:

Q1:  

Q2:  Information Systems and Management

Q3:  

Q4:  

Journal Home:  Journal Homepage
Cite Score:  3.7
SNIP:  1.804
Journal Rank(SJR):  0.48
Publisher & Country:

Publisher:  Elsevier Science B.V

Country:  Netherlands