Applied Mathematics and Optimization

Aims & Scope

The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications.

Papers considered for publication must contain significant contributions and applications from a mathematical perspective.

Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport.

Algorithmic, data analytic, machine learning and numerical methods which support the modeling and mathematical analysis of optimization problems are encouraged.

Of great interest are papers which show some novel idea in either the theory or model and include some connection with potential applications in science and engineering.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.7
2024	1.60

Journal Rank

Year	Value
2024	5197

Journal Citation Indicator

Year	Value
2024	892

SJR (SCImago Journal Rank)

Year	Value
2024	0.957

Quartile

Year	Value
2024	Q1

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• The internal model principle for linear multivariable regulators

  Citation: 974

  Authors: B. A., W. M.

• Continuous-Time Mean-Variance Portfolio Selection: A Stochastic LQ Framework

  Citation: 804

  Authors: X. Y., D.

• A Strong Maximum Principle for some quasilinear elliptic equations

  Citation: 774

  Authors: J. L.

• Pareto optimality in multiobjective problems

  Citation: 399

  Authors: Yair

• New Conjugacy Conditions and Related Nonlinear Conjugate Gradient Methods

  Citation: 377

  Authors: Y., L.

• Regularity and stability for the mathematical programming problem in Banach spaces

  Citation: 344

  Authors: J., S.

• Backward stochastic differential equations and applications to optimal control

  Citation: 307

  Authors: Shige

• Generalized Hessian matrix and second-order optimality conditions for problems withC 1,1 data

  Citation: 295

  Authors: Jean-Baptiste, Jean-Jacques, V. Hien

• A Maximum Principle for SDEs of Mean-Field Type

  Citation: 267

  Authors: Daniel, Boualem

• On the pricing of American options

  Citation: 266

  Authors: Ioannis

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