Mission and Scope: The Kings and Queens Journal of Mathematical Modeling and Applied Analytics (KQJMMAA) is dedicated to providing a high-level platform for the dissemination of original research in mathematical modeling, quantitative analysis, and data-driven problem-solving. The journal seeks to publish papers that not only deepen theoretical insight but also drive progress in applied sciences through mathematical innovation. KQJMMAA promotes scholarly exchange among researchers, practitioners, and academics by encouraging studies that offer analytical solutions to complex real-world challenges across various sectors.

About Us: KQJMMAA is a peer-reviewed, open-access international journal with a bi-annual publication frequency. The journal focuses on the advancement and application of mathematical and computational methods across areas such as optimization, statistics, operations research, machine learning, systems modeling, and data science. KQJMMAA supports contributions that address contemporary scientific and technological issues through rigorous quantitative approaches. Each submission undergoes a thorough peer review process to ensure its originality, relevance, and scholarly impact. Our goal is to offer a reliable academic space for high-quality research that bridges theory and practical implementation.

Fields of Study: Mathematical Modeling, Applied Mathematics, Statistics, Operations Research, Numerical Analysis, Optimization, Computational Science, Machine Learning, Data Analytics, Systems Engineering, and related areas.

Publication Frequency: Bi-Annual (January – June & July – December)

Access Type: Open Access

Year of Establishment: 2025

Fields of Research: The Kings and Queens Journal of Mathematical Modeling and Applied Analytics (KQJMMAA) covers a focused yet diverse array of research areas, including but not limited to: Applied Mathematics, Mathematical Modeling, Computational Science, Statistics, Optimization, Operations Research, Numerical Methods, Machine Learning, Data Analytics, Simulation, Control Theory, Decision Science, Mathematical Finance, Quantitative Risk Analysis, Systems Engineering, and interdisciplinary studies involving mathematical applications in engineering, economics, biology, and the physical sciences.

Types of Submissions: Original Research Articles, Review Papers, Case Studies, Applied Methodological Papers, Comparative Analyses, Technical Notes, Survey Papers, Thesis and Dissertation Excerpts (M.Sc, M.Phil, Ph.D.), and Research Proposals relevant to the field.

Accepted Language: English

Open Access Policy: The Kings and Queens Journal of Mathematical Modeling and Applied Analytics (KQJMMAA) operates under an Open Access framework, providing unrestricted access to published content without subscription or access fees. Publication costs may be supported by the author, affiliated institution, or research funding. Authors retain full copyright of their work, ensuring visibility and accessibility for researchers and practitioners around the world.

Call for Submissions: KQJMMAA welcomes original, unpublished work from scholars, researchers, and professionals engaged in the mathematical sciences and their real-world applications. All manuscripts are subject to a thorough peer review process that evaluates novelty, methodological soundness, and relevance. The journal encourages submissions that apply rigorous mathematical thinking to address practical challenges or explore emerging trends in applied analytics. Accepted papers will be published in the forthcoming issue, complete with an Online ISSN and citation indexing.