Peer Review Policy

Peer review is a fundamental component of ensuring scientific reliability and publication quality. Artificial Intelligence and Machine Learning Review (AIMLR) enforces a structured review system to validate the originality, methodological accuracy, and academic contribution of every accepted manuscript. The journal adopts a two-phase review mechanism to maintain transparent and high-quality scholarly evaluation.

Phase 1: Editorial Screening

All submitted manuscripts first undergo an internal screening conducted by the editorial office. In this stage, editors assess whether the manuscript falls within the journal’s thematic scope, demonstrates acceptable scientific structure, and complies with the Author Guidelines stated on the journal’s website. Major language deficiencies, substantial formatting violations, or incompleteness of required documents may result in immediate rejection or a request for technical corrections before peer review can proceed.

Phase 2: Double-Blind Peer Review

Manuscripts that successfully pass the initial screening are forwarded to at least two independent reviewers with subject-matter expertise. AIMLR follows a strict Double-Blind Peer Review model in which author identities are concealed from reviewers and reviewer identities remain confidential to authors. Additional reviewers may be assigned if specialized evaluation is required. After reviewing the reports, the editorial board issues one of the following decisions: acceptance, rejection, minor revision, or major revision. Authors receiving revision requests must address reviewer comments comprehensively before the manuscript is reconsidered.

Reviewer Responsibilities

Reviewers are essential to maintaining academic rigor and ethical publishing practices. They are expected to conduct evaluations objectively and complete assessments within the requested timeframe. Reviewer comments must be supported with clear reasoning and constructive feedback. All submitted manuscripts and data must be treated as confidential and cannot be used for personal research or disclosed to third parties. Any reviewer who identifies a conflict of interest, ethical concern, or limitation in their expertise must inform the editorial office immediately.

Evaluation Criteria

During the peer review process, manuscripts are assessed based on several core criteria, including alignment with AIMLR’s aims and scope, the significance of the research findings, adequacy and relevance of cited literature, methodological soundness, clarity of results, and the overall scientific contribution. Reviewers also examine the quality of argumentation, data presentation, and technical accuracy, along with adherence to formatting and ethical standards set by the journal.