Optimization Letters publishes research on various optimization problems, including linear semidefinite programming, complementarity problems, multi-metric learning, nonlinear programming techniques like the difference-of-convex algorithm, and graph-based optimization problems such as the hop-constrained cheapest path problem. The journal also covers optimal control problems, stochastic optimization, low-rank matrix recovery, and manifold optimization.
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
2024
2025
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.
Business, Management and Accounting (miscellaneous)Q2
Control and OptimizationQ2
Subject Classification
Web of Science Categories
Mathematics, AppliedOperations Research & Management Science
Scopus Categories
Control and OptimizationBusiness, Management and Accounting (miscellaneous)
Research Topics (OpenAlex)
Advanced Optimization Algorithms ResearchOptimization and Variational AnalysisVehicle Routing Optimization MethodsSparse and Compressive Sensing TechniquesOptimization and Search ProblemsScheduling and Optimization AlgorithmsMatrix Theory and AlgorithmsAdvanced Manufacturing and Logistics OptimizationOptimization and Packing ProblemsRisk and Portfolio Optimization