This journal focuses on computational methods for management science problems, particularly those involving optimization under uncertainty. Articles frequently address stochastic programming, robust optimization, and dynamic programming to solve complex decision-making scenarios in areas such as energy systems, disaster response, finance, and infrastructure planning. The research often involves developing and applying algorithms to handle large-scale problems and uncertain parameters.
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
Information SystemsQ2
Management Information SystemsQ2
Management Science and Operations ResearchQ3
Statistics, Probability and UncertaintyQ3
Subject Classification
Web of Science Categories
Social Sciences, Mathematical Methods
Scopus Categories
Information SystemsStatistics, Probability and UncertaintyManagement Science and Operations ResearchManagement Information SystemsBusiness, Management and Accounting (miscellaneous)
Research Topics (OpenAlex)
Risk and Portfolio OptimizationStochastic processes and financial applicationsEconomic theories and modelsElectric Power System OptimizationFinancial Risk and Volatility ModelingSupply Chain and Inventory ManagementCapital Investment and Risk AnalysisFinancial Markets and Investment StrategiesOptimization and Mathematical ProgrammingAdvanced Optimization Algorithms Research