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Journal Photo for Revue d'Information Scientifique et Technique
Peer reviewed only Open Access

Revue d'Information Scientifique et Technique (RIST)

Publisher : Africa Journals Online
digital Libraries Digital Humanities and Heritage Artificial Intelligence
e-ISSN 1111-0015
Issue Frequency Semiannual
Est. Year 1989
Mobile 21321916209
Language English
APC YES
Email rist@mail.cerist.dz

Journal Descriptions

The Revue d’Information Scientifique et Technique (RIST) is a peer-reviewed scientific journal published by the Centre de Recherche sur l’Information Scientifique et Technique (CERIST) in Algeria. Established in the late 1980s, the journal focuses on research related to information science, library science, information systems, and digital technologies. RIST serves as a platform for researchers, academics, and professionals working in the fields of scientific information management, documentation, and emerging information technologies. It publishes original research articles, case studies, technical reports, and theoretical papers addressing both practical and methodological aspects of information science. The journal is published twice a year and follows academic peer-review standards to ensure quality and originality of submissions. It plays an important role in promoting scientific communication and knowledge dissemination in North Africa and the wider francophone research community. The journal also highlights technological innovations in information systems, digital libraries, and knowledge management systems. RIST is widely recognized in regional indexing systems and contributes significantly to research development in information and communication sciences, particularly within Algeria and other French-speaking countries.

Revue d'Information Scientifique et Technique (RIST) is :-

  • International, Peer-Reviewed, Open Access, Refereed, digital Libraries, Digital Humanities and Heritage, Artificial Intelligence, Natural Language Processing, Semantic Web Technologies, Linked Data, Databases, big data, Machine Learning, deep learning, computer vision, information management, documentation, emerging information technologies, case studies, technical reports, and theoretical papers addressing both practical and methodological aspects of information science , Online , Semiannual Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1111-0015, Established: 1989,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing