Reviewer Selection

 
 
Reviewer Selection Policy

Reviewers for the Journal of Computer and Data Science (JCODA) are selected according to their academic expertise, methodological competence, research experience, and ability to provide a fair, objective, and independent assessment of submitted manuscripts.

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Reviewer Selection Factors
01 Relevant subject expertise aligned with the manuscript's topic and research objectives.
02 Methodological expertise appropriate to the research design, analytical techniques, and evidence presented.
03 Relevant research experience and scholarly publication record.
04 Demonstrated academic or professional competence in the relevant field.
05 Availability to complete the review within the journal's requested timeframe.
06 Absence of significant conflicts of interest that could compromise impartiality.
07 Independence from the authors and the work being evaluated.
 
Reviewer Diversity

Where practicable, editors seek reviewers with complementary expertise and diverse academic or professional perspectives. Reviewer selection remains focused on scientific relevance, competence, impartiality, and independence to support a balanced and rigorous evaluation process.