The Japan Journal of Industrial and Applied Mathematics publishes research on mathematical modeling and computational methods applied to diverse scientific and engineering problems. Topics include stochastic control, optimization algorithms for logistics and combinatorial problems, lattice algorithms for computational number theory, mathematical epidemiology, fluid dynamics, and machine learning for weather prediction.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
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2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Applied MathematicsQ2
Engineering (miscellaneous)Q2
Subject Classification
Web of Science Categories
Mathematics, Applied
Scopus Categories
Applied MathematicsEngineering (miscellaneous)
Research Topics (OpenAlex)
Matrix Theory and AlgorithmsAdvanced Numerical Methods in Computational MathematicsAdvanced Mathematical Modeling in EngineeringNumerical methods for differential equationsAdvanced Optimization Algorithms Research