Journal of Applied Mathematical and Statistical Computing
Advancing applied math and statistical computing research
Journal Overview
The Journal of Applied Mathematical and Statistical Computing (JAMSC) is a rigorous international platform for original research spanning the full breadth of applied mathematics, statistical science, and computational methodology. The journal advances theoretical and methodological contributions that address complex problems in science, engineering, and technology, with a strong emphasis on reproducibility and interdisciplinary impact.
Covers a broad spectrum of areas including real and functional analysis, partial differential equations, numerical analysis, control theory, optimization, probability theory, stochastic processes, statistical inference, high-dimensional methods, and machine learning with statistical foundations.
Bridges mathematical theory and modern computation, promoting data-driven methodologies alongside rigorous analytical frameworks, including applications in mathematical biology, physics, and environmental science.
Committed to open access, ensuring research is freely available to the global scholarly community without barriers to readership.
All submissions undergo a double-blind peer review process conducted by domain experts, upholding the highest standards of scientific integrity, methodological transparency, and publication ethics.
Editors
Boris Mordukhovich
Department of Mathematics and Institute for AI and Data Science
Wayne State University
USA
Shashi K Mishra
Department of Mathematics
Banaras Hindu University
Varanasi, India
Atulya K. Nagar
Pro-Vice Chancellor (Research)
Liverpool Hope University
UK
Housila P Singh
Retired Professor
School of Studies in Statistics
Samrat Vikramaditya University
Ujjain, India
First decision
10 days
Decision after review
7 days
Submission to acceptance
60 days
Submission & Review Timeline
Editorial Workflow with Timeline
Recognizing that timely dissemination of research is fundamental to scientific progress, we have structured our peer review process to balance expediency with rigorous academic standards. Our commitment to authors reflects an understanding that the publication timeline represents a critical investment of scholarly effort; accordingly, we have streamlined our editorial workflow to minimize unnecessary delays without compromising the integrity of peer evaluation. More on editorial workflow and timeline.
© 2026 Journal of Applied Mathematical and Statistical Computing. All published content is open access. Authors retain copyright and articles are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).