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Peer Review Policy

The Journal of Advanced Computing and Intelligent Technologies (JACIT) recognizes peer review as an essential component of scientific quality assurance and responsible scholarly publishing. The journal’s peer-review process is designed to evaluate the originality, technical accuracy, methodological rigor, scientific validity, and academic relevance of manuscripts submitted in computer science, artificial intelligence, advanced computing, and intelligent technologies.

The journal’s editorial framework is informed by internationally recognized principles of publication ethics, including relevant guidance from the Committee on Publication Ethics (COPE). Manuscript evaluation emphasizes impartiality, confidentiality, editorial independence, and constructive scientific assessment.

All submitted manuscripts undergo preliminary editorial assessment prior to external review to verify alignment with the journal’s scope, scientific validity, and adherence to ethical standards.

REVIEW MODEL Double-Anonymized
AVERAGE TIMELINE 3 to 4 Weeks
INTEGRITY CHECK Strict Anti-Plagiarism

Peer Review Evaluation Criteria

Independent technical reviewers evaluate submitted computing manuscripts across seven core criteria:

Scientific Originality

The novelty, technical significance, and distinct academic contribution of the computational research.

Technical Validity

The correctness of algorithms, computational models, mathematical formulations, and system architectures.

Methodological Rigor

The appropriateness of research design, experimental setups, benchmarking datasets, and analytical techniques.

Experimental Evaluation

The adequacy of performance metrics, baseline model comparisons, validation procedures, and statistical analyses.

Reproducibility & Transparency

The clarity of computational environments, model hyperparameter configurations, datasets, and execution steps.

Research Ethics & AI Integrity

Compliance with data privacy standards, AI ethics requirements, intellectual property, and disclosure rules.

Scholarly Presentation

The clarity, logical organization, structural completeness, and accuracy of manuscript text, figures, and citations.

Editorial Decision Categories

Accept The manuscript satisfies the journal’s scientific, technical, and editorial requirements for immediate publication.
Minor Revision Limited modifications are required to improve technical presentation, algorithmic clarity, or formatting prior to acceptance.
Major Revision Substantial changes are required to address methodological, experimental, analytical, or interpretive concerns, subject to re-review.
Reject The manuscript does not meet the journal’s standards for scientific quality, originality, technical validity, or ethical compliance.

Reviewer Responsibilities & Ethical Conduct

Reviewers are expected to maintain professional integrity, objectivity, and strict confidentiality throughout the review process:

  • Evaluate manuscripts strictly within their specific technical and computational expertise.
  • Provide constructive, evidence-based feedback supported by clear scientific reasoning.
  • Disclose any actual, potential, or perceived conflicts of interest prior to accepting evaluation assignments.
  • Maintain full confidentiality of unpublished manuscripts, datasets, algorithms, and related materials.
  • Refrain from unauthorized use of unpublished algorithms, computational models, or experimental findings.
  • Report suspected research misconduct, plagiarism, or synthetic data concerns confidentially to the editor.

Appeals, Complaints & Editorial Independence

Authors may submit reasoned appeals regarding editorial decisions when substantive scientific misunderstandings or procedural irregularities occur. Appeals must be supported by verifiable technical evidence.

Editorial decisions are based strictly on scientific merit, technical accuracy, and scope alignment. Publication charges, commercial interests, or personal relationships never influence acceptance outcomes.

Commitment to Peer Review Quality: The Journal of Advanced Computing and Intelligent Technologies seeks to maintain a fair, confidential, and scientifically rigorous peer-review process that supports reliable research dissemination and responsible technological innovation.