For Reviewers
In order to ensure a high standard of academic publication, all papers submitted to the Journal of Computational and Cognitive Engineering (JCCE) will undergo rigorous peer review prior to acceptance for publication. The review process ensures that papers are original, substantial, new, and presented effectively.
Objectivity and Neutrality Mandate
All submissions should be evaluated objectively, regardless of the writers' affiliation, color, gender, ethnicity, or religion. Your review must be completely neutral; please strictly avoid making offensive, hostile, or derogatory comments about the work or its authors.
Confidentiality Statement: Please do not disclose any information obtained during the peer-review process, or use the unpublished materials in your own research without the explicit written consent of the Author, as all manuscripts must be handled with absolute confidentiality.
Conflicts of Interest: Reviewers must immediately disclose any potential conflicts of interest (financial, institutional, or collaborative) and consult with the journal editorial office if you are unsure whether or not something constitutes a relevant interest.
Review Criteria
The following diagnostic criteria must be evaluated by peer experts when assessing submitted manuscripts. Evaluation logs should thoughtfully answer critical questions regarding significance, formatting, data, and presentation:
Does the paper contain completely new, significant, and adequate information to fully justify publication in an international engineering journal index?
Does the paper demonstrate an adequate and thorough understanding of the relevant literature in the field? Does it cite an appropriate range of literature sources, and is any crucial or significant work ignored?
Is the paper's core argument built on an appropriate base of theory, concepts, or other empirical ideas? Has the research or equivalent intellectual work on which the paper is based been well-designed? Are the methods employed appropriate and replicable?
Are the experimental results presented clearly and analyzed with appropriate statistical/computational rigor? Do the final conclusions adequately tie together the other structural elements of the paper?
Does the paper clearly identify any direct implications for ongoing research, industrial practice, and/or broader society? Does the manuscript successfully bridge the gap between abstract computational theory and practical engineering application?
Does the paper clearly express its case, measured against the technical language of the field and the expected knowledge of the journal's readership? Has careful attention been paid to the clarity of expression and overall readability, such as sentence structure, acronym definitions, and fluid syntax?