Journal of Optimization Theory and Applications

Aims & Scope

The Journal of Optimization Theory and Applications is devoted to the publication of carefully selected regular papers, invited papers, survey papers, technical notes, book notices, and forums that cover mathematical optimization techniques and their applications to science and engineering.

Typical theoretical areas include linear, nonlinear, mathematical, and dynamic programming.

Among the areas of application covered are mathematical economics, mathematical physics and biology, and aerospace, chemical, civil, electrical, and mechanical engineering.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.5
2024	1.60

SJR (SCImago Journal Rank)

Year	Value
2024	0.777

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	105

Journal Rank

Year	Value
2024	7053

Journal Citation Indicator

Year	Value
2024	1015

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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 Decision Sciences and 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.

• Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm

  Citation: 2416

  Authors: V.

• Generalized Benders decomposition

  Citation: 1900

  Authors: A. M.

• Multiplier and gradient methods

  Citation: 1808

  Authors: Magnus R.

• Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization

  Citation: 1429

  Authors: P.

• Lipschitzian optimization without the Lipschitz constant

  Citation: 1406

  Authors: D. R., C. D., B. E.

• Shuffled complex evolution approach for effective and efficient global minimization

  Citation: 1342

  Authors: Q. Y., V. K., S.

• Profit, Directional Distance Functions, and Nerlovian Efficiency

  Citation: 944

  Authors: R. G., Y., R.

• A globally convergent method for nonlinear programming

  Citation: 827

  Authors: S. P.

• The Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Space

  Citation: 684

  Authors: Y., A., S.

• A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms

  Citation: 629

  Authors: Laurent

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