About the Journal

Journal of Computational Innovation and Analytics (JCIA) is an international, open-access, double-blind peer-reviewed journal initiated by the School of Quantitative Sciences (SQS), Universiti Utara Malaysia. Published biannually in January and July, JCIA is entirely free of charge for authors, requiring zero submission fees and no Article Processing Charges (APCs). It provides a scholarly platform for rigorous and innovative research at the intersection of mathematics, statistics, probability and uncertainty, decision sciences, computer science applications, and artificial intelligence, welcoming theoretical and original research articles, review articles, methodological studies, and applied or case-based contributions that develop, evaluate, synthesize, or apply mathematical and statistical models, analytical methods, algorithms, computational techniques, and data-driven approaches. With a strong emphasis on theoretical advancement, computational innovation, and quantitative analytics, JCIA seeks to advance knowledge, uncover meaningful patterns, and connect emerging ideas with impactful applications across rapidly evolving interdisciplinary fields.

Announcements

Current Issue

Vol. 5 No. 2 (2026): Journal of Computational Innovation and Analytics
					View Vol. 5 No. 2 (2026): Journal of Computational Innovation and Analytics

Advancing computational intelligence, this issue presents 8 research/review articles from Malaysia, the Philippines, Indonesia, Nigeria, and Iraq, covering numerical computing, public health, higher education, housing, maritime education, and digital learning, with emphasis on machine learning, prediction, automated decision-making, and technology adoption | GLOBAL AUTHORSHIP
5 Countries · 9 Affiliations · 21 Authors

Malaysia  Philippines  Indonesia  Nigeria  Iraq

Published: 31-07-2026
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Publishing Timeline
2 Weeks
Submission to first decision
12 Weeks
Peer review
17 Weeks
Submission to acceptance
3 Weeks
Acceptance to publication
Timelines are indicative and may vary depending on reviewer availability, review quality, editorial assessment, and the timeliness of revisions submitted by authors.