Ranking & Metrics Journal Information Aims & Scope of the Journal
Data and Knowledge Engineering

Data and Knowledge Engineering

Impact Score 4.12


Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 4.12
JCR Impact Factor: 1.694
Scopus Citescore: 3.7
SCIMAGO H-index: 82
Research Ranking (Computer Science) 221
Number of Top scientists: 31
Documents by top scientists: 31

Journal Information

ISSN: 0169-023X
Publisher: Data and Knowledge Engineering
Periodicity: Bi-Monthly
Editors-in-Chief: P.P. Chen

Aims & Scope of the Journal

Data and Knowledge Engineering publishes academic papers studying novel essential contributions in the fields of Databases & Information Systems and Machine Learning & Artificial intelligence. Data and Knowledge Engineering features original academic papers which go through peer review by experts in the field. The journal welcomes submissions from the research community where emphasis will be placed on the originality and the practical significance of the reported research.

Data and Knowledge Engineering is listed in a wide scope of abstracting and indexing datasets like Scopus, Web of Science and Guide2Research. A significant number of leading scientists have published their research contributions at this Journal among them John Mylopoulos, Giancarlo Guizzardi, Juan Trujillo and Eric Yu.

For extra information on the rules and submission provisions for authors, you are advised to consult the official website for the journal for Data and Knowledge Engineering at https://www.journals.elsevier.com/data-and-knowledge-engineering .