Revue d'Intelligence Artificielle

Revue d'Intelligence Artificielle

  • ISSN: 
    0992-499X (print); 1958-5748 (online)
  • Indexing: 
    Scopus
    SCImago (SJR)
    Ei Compendex
    EBSCOhost
    Google Scholar
    CrossRef
    Microsoft Academic
  • Subject: 
    Computer Sciences
    Engineering

Revue d'Intelligence Artificielle (RIA) is a top-rated international journal that updates the latest achievements in the field of artificial intelligence (AI). The mission is to provide researchers with the state-of-the-art results on the AI and benefit the entire community of information and communication science and technology. The editors encourage the authors from all countries to submit papers discussing the AI in general, and covering topics like the representation and engineering of knowledge, robotics and computer vision, learning, natural language, reasoning modeling, multi-agent systems. The papers are required to meet strict demands of originality, rigor and scientific quality, and serve as a working tool and a privileged reference for researchers and students in this specialty.

Focus and Scope

The RIA welcomes original research papers, technical notes and review articles on various disciplines, including but not limited to:

  • AI
  • Knowledge representation
  • Knowledge engineering
  • Robotics
  • Computer vision
  • Learning
  • Natural language
  • Reasoning modelling
  • Multi-agent systems

Publication Frequency

The RIA is published regularly by the IIETA as of 2019, with six regular issues (excluding special issues) and one volume per year.

Peer Review Statement

The IIETA adopts a double blind review process. Once submitted, a paper dealing with suitable topics will be sent to the editor-in-chief or managing editor, and then be reviewed by at least two experts in the relevant field. The reviewers are either members of our editorial board or special external experts invited by the journal. In light of the reviewers’ comments, the editor-in-chief or managing editor will make the final decision over the publication, and return the decision to the author.

There are four possible decisions concerning the paper: acceptance, minor revision, major revision and rejection. Acceptances means the paper will be published directly without any revision. Minor revision means the author should make minor changes to the manuscript according to reviewers’ comments and submit the revised version to the IIETA. The revised version will be accepted or rejected at the discretion of the editor-in-chief or managing editor. Major revision means the author should modify the manuscript significantly according to reviewers’ comments and submit the revised version to the IIETA. The revised version will be accepted or rejected at the discretion of the editor-in-chief or managing editor. Rejection means the submitted paper will not be published.

If a paper is accepted, the editor-in-chief or managing editor will send an acceptance letter to the author, and ask the author to prepare the paper in MS Word using the template of IIETA. 

Plagiarism Policy

Plagiarism is committed when one author uses another work without permission, credit, or acknowledgment. Plagiarism takes different forms, from literal copying to paraphrasing the work of another. The IIETA uses CrossRef to screen for unoriginal material. Authors submitting to an IIETA journal should be aware that their paper may be submitted to CrossRef at any point during the peer-review or production process. Any allegations of plagiarism made to a journal will be investigated by the editor-in-chief or managing editor. If the allegations appear to be founded, we will request all named authors of the paper to give an explanation of the overlapping material. If the explanation is not satisfactory, we will reject the submission, and may also reject future submissions.

For instructions on citing any of IIETA’s journals as well as our Ethics Statement, see Policies and Standards.

Indexing Information

  • Elsevier’s Scopus

Web: http://www.scopus.com/home.url

  • Engineering  Village,  Ei  Compendex 

Web: http://www.ei.org/compendex

  •  EBSCO 

Web: http://www.ebscohost.com

  •  DBLP 

Web: https://dblp.org/

  •  Google Scholar 

Web: http://scholar.google.com

  •  Microsoft Academic

Web: https://academic.microsoft.com/home

Included in

  •  SCImago Journal & Country Rank 

Web: http://www.scimagojr.com

  •  Crossref.org 

Web: https://www.crossref.org/

ISSN: 0992-499X (print); 1958-5748 (online)