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:  0169-023X

Electronic ISSN:  

Abstracting and Indexing:  Science Citation Index Expanded. Scopus.

Imapct Factor 2020:  1.992

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:  

Cite Score:  4.7

SNIP:  1.162

Journal Rank(SJR):  0.48

Latest Articles:   Latest Articles in Data & Knowledge Engineering Journal - Elsevier | 2020 Impact Factor:1.992|Cite Score:4.7|Q2

Guidelines for Authors: Data & Knowledge Engineering Journal - Elsevier | 2020 Impact Factor:1.992|Cite Score:4.7|Q2 Author Guidelines

Paper Submissions: Paper Submissions in Data & Knowledge Engineering Journal - Elsevier | 2020 Impact Factor:1.992|Cite Score:4.7|Q2

Publisher:  Elsevier Science B.V

Country:  Netherlands