Impact Score 4.12
Artificial Intelligence Review grants a venue for the publication of new research results in the swiftly developing fields of Machine Learning & Artificial intelligence . Artificial Intelligence Review publishes original scientific contributions which go through peer review by experts in the given subject area. The journal encourages submissions from the research community where the priority will be on the novelty and the practical importance of the reported findings.
Artificial Intelligence Review is listed in a wide variety of abstracting and indexing databases including Scopus, Web of Science and Guide2Research. A significant number of leading scientists have published their research contributions at this Journal including Erik Cambria, Fei-Yue Wang, Dervis Karaboga and John K. Tsotsos.
For additional details on the instructions and submission prerequisites for authors, it is recommended to visit the official website for the journal for Artificial Intelligence Review at https://www.springer.com/journal/10462 .