Abstracting & Indexing

   Crossref (DOI & Open Metadata Registry)

   Google Scholar (Web search & indexing metadata)

   ISSN Identifier (ISSN Identifier for Print and Online)

   Academia Distribution (Sharing and Distribution)

  Asian Science Citation Indexing (Indexing Database)

The abstracting and indexing services of the Ethiopian International Journal of Engineering and Technology (EIJET) enable readers to search and find journal articles based on metadata tags and abstracts. Researchers rely on these services to quickly and conveniently find publications on relevant topics.

​The International Standard Serial Number (ISSN) is a unique eight-digit code that identifies standard publications issued in successive parts, such as periodicals, newspapers, and journals. This journal is registered with the ISSN International Centre and received Print ISSN: [2959-393X] and Online ISSN: [2959-3921].

The EIJET unlocks the content using metadata and abstracts, thereby improving the ease of academic and scientific literature use. The metadata used in abstracting and indexing services includes the title, author, publication date, journal title, volume and issue number, page numbers, subject area, keywords, DOI, and other key elements. Inputting search criteria brings up the metadata and abstracts of relevant journals and proceeding articles along with links to the full-text versions.

The Abstracting & Indexing system at this journal is dedicated to achieving maximum exposure for your research article in the relevant services and to working with you to constantly improve your article’s rankings.

Currently, the EIJET assigns valid CrossRef DOI (Digital Object Identifiers) to every research article. All papers are published with their metadata through the Open Journal System (OJS). This metadata is formatted to ensure automatic indexing of the articles on Google Scholar. The Journal system automatically counts the views, downloads, and citations from various sources such as Scopus, Google Scholar, CrossRef, PMC, etc.

Academia.edu is a commercial platform for sharing academic research that is uploaded and distributed by researchers from around the world. All academic articles are free to read by visitors, however uploading and downloading articles is restricted to registered users, with additional features accessible only as a paid subscription.

Asian Science Citation Index (ASCI) Database employs rigorous criteria to select journals, ensuring scholarly quality and relevance. These include strong editorial processes, original and impactful content, clear scope alignment, regular publication schedules, global authorship diversity, adherence to ethical standards, and citation influence.