Journal Indexing
Journal of Advances in Computational and Intelligent Systems (ACIS)
The Journal of Advances in Computational and Intelligent Systems (ACIS) is committed to ensuring maximum visibility and impact of published research by indexing our journal in recognized academic databases and repositories.
1. Current Indexing & Abstracting
We are actively working to index ACIS in the following databases:
- Google Scholar (In Progress)
- CrossRef (DOI assigned to each article)
- OpenAIRE (Planned)
- WorldCat (Planned)
- BASE (Bielefeld Academic Search Engine) (Planned)
2. Future Indexing Goals
We are actively working towards indexing in major international databases, including:
✔ Scopus (Elsevier) – High-quality peer-reviewed journals.
✔ Web of Science (Clarivate Analytics) – Global citation indexing for scholarly journals.
✔ Directory of Open Access Journals (DOAJ) – Open access database for visibility.
✔ EBSCOhost – Academic research database.
✔ PubMed (For relevant biomedical articles).
Our editorial team is working to ensure compliance with these indexing requirements, including peer-review transparency, editorial quality, and publication ethics.
3. Digital Object Identifier (DOI) for Every Article
- ACIS assigns a DOI (Digital Object Identifier) to all published articles through CrossRef.
- This ensures permanent linking, citation tracking, and easy referencing.
4. Author Benefits from Indexing
Publishing with ACIS enhances:
✔ Global discoverability of research.
✔ Higher citation potential through indexed platforms.
✔ Academic recognition by international research communities.
✔ Compliance with university and funding agency requirements for research visibility.
5. How Authors Can Help Us Get Indexed Faster
We encourage authors to:
✔ Cite ACIS articles in their research to boost impact.
✔ Share their published papers on academic platforms (ResearchGate, ORCID, Google Scholar).
✔ Recommend ACIS to their institutions and libraries for indexing support.
6. Contact Us for Indexing Suggestions
If you are aware of relevant indexing opportunities or wish to collaborate on improving ACIS indexing, please contact us at myindacademia@yahoo.com