Impact Score 4.12
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 .