Knowledge Engineering and Data Science Impact Factor, Quartile, Indexing, Ranking

Knowledge Engineering and Data Science Impact Factor, Indexing, Ranking

Knowledge Engineering and Data Science (KEDS) is a scholarly journal dedicated to publishing research in the field of Mathematics, and Published by Universitas Negeri Malang. The Print-ISSN of Knowledge Engineering and Data Science is 2597-4602

The Publication fees (APC) is 2000000 IDR.


Knowledge Engineering and Data Science Aim and Scope

Knowledge Engineering and Data Science is published by Universitas Negeri Malang, based in Indonesia, publishing since 2018. It covers research in Mathematics.

Topics covered include knowledge, engineering, practics, conceptual, model.

The journal is indexed in DOAJ; it uses a anonymous peer review process.

Article processing charge: 2000000 IDR.

For full aims and scope, see the journal's official page.


Knowledge Engineering and Data Science Metrics and Rankings

In the context of academic journals, "Metrics and Rankings" refer to various measures and evaluations used to assess the quality, influence, and impact of a journal.

Below are the metrics and rankings for the journal Knowledge Engineering and Data Science


Knowledge Engineering and Data Science Abstracting and Indexing

Abstracting and Indexing (A&I) refers to the processes that help organize and categorize academic journals, making them easier to find and access for researchers and scholars

Abstracting and Indexing

Knowledge Engineering and Data Science Submission

If you would like to submit a manuscript or visit the journal's website, please click on the link below.

Journal Submission 🔗 Journal Website

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