Indexing and Abstracting

The Journal of Engineering Research and Applied Sciences (JERAS) is committed to ensuring the widest possible dissemination of its scientific research by seeking to index its content in internationally recognized databases and scientific repositories.

Current Indexing:

Google Scholar: All issues and published articles of JERAS are automatically indexed in Google Scholar, the world's most widely used academic search engine, enabling researchers to immediately access the journal's content and track citation metrics.

Future Indexing Efforts:

The journal is working according to a clear future strategic plan aimed at expanding the scope of accreditations and indexing to include prominent local and regional platforms, in order to enhance its scientific presence and facilitate the academic community's access to its research outputs.