Indexing, Abstracting and Preservation

Indexing and Discoverability

Articles published in the Canadian Journal of Machine Learning & Intelligent Transportation (CJMLIT) are intended to become discoverable through the following scholarly indexing, bibliographic, and academic discovery services as the journal develops and its publications are indexed:

Bibliographic Metadata and Registration

CJMLIT aims to make its bibliographic records available through Crossref as articles are published and their metadata become available.

Additional Indexing and Directory Services

CJMLIT aims to further expand its international scholarly visibility through additional indexing, abstracting, discovery services, and academic directories. Inclusion in these services is subject to their respective eligibility criteria and procedures.

  • EBSCO
  • J-Gate
  • ROAD
  • Sherpa Romeo

Digital Preservation

CJMLIT recognizes the importance of long-term digital preservation and sustained access to scholarly research. The journal is exploring additional preservation services to support the continued availability and integrity of its published content.

  • CLOCKSS
  • Portico