Advances in Artificial Intelligence and Machine Learning | An Artificial Intelligence Journal
ISSN :2582-9793
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    • Welcome to the Advances in Artificial Intelligence and Machine Learning (AAIML) - An Artificial Intelligence Journal

    AAIML is a global, peer-reviewed, open-access online journal, committed to the timely publication of original work in Artificial Intelligence, Machine Learning, and its related applications. Join the Journal and share your original research..

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    Our aim is to publish high-quality research in artificial intelligence and machine learning

    AAIML publishes Issues six times a year and is committed to a timely peer review process of six to ten weeks from the initial paper submission..

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    Q3 in the Artificial Intelligence Category

    Advances in Artificial Intelligence and Machine Learning (ISSN: 2582-9793; Scopus Source ID: 21101164612) is a global, peer-reviewed, open-access Artificial Intelligence journal indexed in Web of Science Core Collection (Journal Impact Factor 2025: 0.8) and Scopus (CiteScore 2025: 1.5, Q3 in Artificial Intelligence, CiteScore Percentile: 33rd, H-Index: 9). The journal is committed to the timely publication of original work in Artificial Intelligence and Machine Learning. In addition to original research, the journal encourages review papers, including mini reviews focused on a very specific topic. As a trusted journal of artificial intelligence, its mission is to provide a context for the study of Artificial Intelligence and Human Wellbeing, Human Cognition, Artificial Systems, and Autonomous Machines, among other areas. From 2026 onwards, the journal publishes 6 issues per year (February, April, June, August, October, December).

    Online Submission Link Read More 


    Journal policy on AI-generated submissions 

    AI-generated papers will be rejected immediately without any review. The journal will keep a record of such papers and their authors.

    WELCOME MESSAGE FROM EDITOR-IN-CHIEF
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    Welcome to the Advances in Artificial Intelligence and Machine Learning (AAIML) journal. Launched in February 2021, the journal has seen a steady increase in the number of high-quality submissions. Thanks are due to the authors, editors, and anonymous reviewers for their contributions to the successful publication of interesting research articles.

    AAIML aims to publish original contributions in artificial intelligence and machine learning. Authors are invited to contribute full-length research papers, systematic review papers, and proposals for special issues. As an established journal of artificial intelligence research, AAIML is published six times a year and remains committed to a timely peer review process of six to ten weeks from initial paper submission.

    Sincerely,
    Anca Ralescu
    Anca.Ralescu@uc.edu
    Senior Member, IEEE
    EECS Department, University of Cincinnati, ML 0030
    Cincinnati, OH 45221-0030, USA
    Editor-in-Chief


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    Editorial Board
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    Anca L. Ralescu
    Editor in Chief

    Anca.Ralescu@uc.edu

    aaiml-editorial-board-img
    Jeffrey E. Arle

    jarle@bidmc.harvard.edu

    aaiml-editorial-board-img
    William Cheng-Chung Chu

    cchu@thu.edu.tw

    aaiml-editorial-board-img
    Andrew A. Goldenberg

    golden@mie.utoronto.ca

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