Data & Knowledge Engineering
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.
- Does not allow reviews to be publicly displayed
- Only allows reviewers to display the journal they reviewed for
Interested in reviewing for this journal?
Your interest in reviewing is shared with journals when they are partnered with us. Learn more.
Editorial board members on Publons
Publons users have indicated that they sit on Data & Knowledge Engineering's editorial board but we are unable to verify these claims. If you are an administrator for Data & Knowledge Engineering, please get in touch to find out how you can verify the contributions of your editorial board members and more.
Top reviewers on Publons (Manuscripts reviewed in last 12 months)
No one has yet endorsed Data & Knowledge Engineering.
Review contents for Data & Knowledge Engineering are not publicly displayed on Publons, in accordance with their editorial policy.