Indexing & Abstracting

The Journal of Computer Science, Data Science, and Artificial Intelligence (JoCSDAI) strives to enhance the visibility, accessibility, and scholarly impact of its publications by ensuring that all articles are indexed and abstracted in reputable academic databases and search engines.

Currently, the journal is in the process of registration and evaluation for inclusion in several indexing services. As the journal grows, this page will be regularly updated with confirmed indexing information.

Targeted indexing and abstracting services include (but are not limited to):

  • Google Scholar
  • CrossRef (with DOI assignment)
  • Dimensions
  • Scilit
  • BASE (Bielefeld Academic Search Engine)
  • DOAJ (Directory of Open Access Journals)
  • Sinta (Science and Technology Index, Indonesia)
  • Garuda (Garba Rujukan Digital, Indonesia)