The Journal of Global Optimization publishes research on methods for solving optimization problems, particularly those that are nonconvex, multiobjective, or involve uncertainty. Articles focus on developing and analyzing algorithms, including interactive methods, robust optimization techniques, and consensus-based optimization, to find global optima or Pareto optimal solutions. The journal also covers theoretical aspects of optimization, such as convex relaxations and the properties of different optimization formulations.
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Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
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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 MathematicsQ1
Business, Management and Accounting (miscellaneous)Q1
Control and OptimizationQ1
Computer Science ApplicationsQ2
Management Science and Operations ResearchQ2
Subject Classification
Web of Science Categories
Mathematics, AppliedOperations Research & Management Science
Scopus Categories
Applied MathematicsComputer Science ApplicationsManagement Science and Operations ResearchControl and OptimizationBusiness, Management and Accounting (miscellaneous)
Research Topics (OpenAlex)
Advanced Optimization Algorithms ResearchOptimization and Variational AnalysisAdvanced Multi-Objective Optimization AlgorithmsSparse and Compressive Sensing TechniquesOptimization and Mathematical Programming