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For Reviewers

AI & Cyber Forum: An International Journal relies on the expertise, integrity, and dedication of peer reviewers to maintain the quality and credibility of its publications. The peer review process is central to ensuring that only high-quality, original, and ethically sound research in Artificial Intelligence, Data Science, Machine Learning, and Cybersecurity is published. We sincerely appreciate the invaluable contribution of our reviewers, whose insights help shape the journal’s academic direction and uphold the highest standards of scholarly excellence.

1. Role of Reviewers

Reviewers play a pivotal role in supporting the journal’s mission to advance global research and innovation in AI and Cybersecurity. Their main responsibilities include:

  • Providing constructive, objective, and timely feedback on assigned manuscripts.
  • Evaluating the originality, technical soundness, and relevance of submitted research.
  • Identifying strengths, weaknesses, and potential improvements in the work.
  • Detecting possible issues related to ethical misconduct, such as plagiarism or data manipulation.
  • Advising the editorial team on the suitability of the manuscript for publication.

2. Peer Review Model

The journal follows a double-blind peer review system to ensure fairness and impartiality:

  • The authors’ identities are not disclosed to reviewers.
  • The reviewers’ identities remain anonymous to authors.
  • This process guarantees an unbiased evaluation based solely on scholarly merit and quality.

3. Reviewer Guidelines

A. Scientific & Technical Quality

Is the research problem clearly defined and relevant to AI, Machine Learning, or Cybersecurity?

Are the methodologies and algorithms technically sound and reproducible?

Are the datasets, experiments, or simulations properly validated and interpreted?

Does the paper demonstrate novelty and a significant contribution to the field?

B. Presentation Quality

Is the manuscript well-structured, logically organized, and clearly written?

Are figures, tables, and code representations accurate and well-presented?

Are the abstract and keywords clear and reflective of the study’s content?

Are the citations appropriate, up-to-date, and properly formatted?

C. Ethical and Professional Considerations

Has the author disclosed funding sources or conflicts of interest?

Are there any concerns regarding plagiarism, data fabrication, or redundant publication?

If applicable, does the study comply with ethical and data security standards (e.g., AI fairness, privacy, responsible data use)?

4. Review Report Structure

Reviewers are requested to submit their evaluations through the journal’s online review system or official email. A comprehensive review should include the following sections:

  • Summary: A concise overview of the manuscript and its main findings.
  • Strengths: Key contributions and positive aspects of the paper.
  • Weaknesses/Concerns: Areas that require clarification, correction, or improvement.
  • Suggestions: Constructive recommendations for enhancing the quality and clarity of the paper.

Final Recommendation:

  • Accept as is
  • Minor revision
  • Major revision
  • Reject

5. Recognition of Reviewers

We greatly value the time and effort contributed by our reviewers and recognize their service through:

Certificate of Reviewing – Issued upon request after each completed review.

Annual Acknowledgement – Recognition of active reviewers on the journal’s website.

Editorial Opportunities – Consistently high-quality reviewers may be invited to join the Editorial Board.

6. How to Become a Reviewer

We welcome applications from qualified researchers, academicians, and professionals in the fields of Artificial Intelligence, Data Science, Machine Learning, and Cybersecurity.

To apply, please send the following details to the Editorial Office:

  • Full Name and Institutional Affiliation
  • Academic Position and Qualifications
  • ORCID iD, Scopus Author ID, or Web of Science Researcher ID
  • Areas of Expertise
  • List of selected publications in relevant fields

📧 Applications can be emailed to: [editorial email ID]

7. Reviewer Ethics

Reviews must be objective, balanced, and evidence-based.

Reviewers must maintain strict confidentiality and must not share or discuss the manuscript.

Any suspicion of ethical misconduct (e.g., plagiarism, falsified data, authorship disputes) should be immediately reported to the editor.

Reviewers should decline assignments where a conflict of interest exists.

8. Reviewer Responsibilities

Maintain confidentiality of all manuscripts and materials.

Complete reviews within the specified timeframe (typically 2–3 weeks).

Provide constructive, unbiased, and respectful feedback.

Avoid using unpublished data or ideas from the manuscript for personal or professional advantage.

Support the journal’s mission to advance ethical, transparent, and impactful research in AI and Cybersecurity.