The Open Journal of Mathematical Optimization (OJMO) publishes original and high-quality articles dealing with every aspect of mathematical optimization, ranging from numerical and computational aspects to the theoretical questions related to mathematical optimization problems. The topics covered by the journal are classified into four areas: Continuous Optimization Discrete Optimization Optimization under Uncertainty Optimization and Machine Learning
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2020
2021
2022
2023
2024
2025
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.
Control and OptimizationQ1
Management Science and Operations ResearchQ1
Subject Classification
Scopus Categories
Management Science and Operations ResearchControl and Optimization
Research Topics (OpenAlex)
Sparse and Compressive Sensing TechniquesAdvanced Optimization Algorithms ResearchOptimization and Variational AnalysisRisk and Portfolio OptimizationStochastic Gradient Optimization TechniquesNumerical methods in inverse problemsMachine Learning and AlgorithmsMulti-Criteria Decision MakingMatrix Theory and AlgorithmsAdvanced Multi-Objective Optimization Algorithms