Mathematical Methods of Operations Research

Aims & Scope

This peer reviewed journal publishes original and high-quality articles on important mathematical and computational aspects of operations research, in particular in the areas of continuous and discrete mathematical optimization, stochastics, and game theory.

Theoretically oriented papers are supposed to include explicit motivations of assumptions and results, while application oriented papers need to contain substantial mathematical contributions.

Suggestions for algorithms should be accompanied with numerical evidence for their superiority over state-of-the-art methods.

Articles must be of interest for a large audience in operations research, written in clear and correct English, and typeset in LaTeX.

A special section contains invited tutorial papers on advanced mathematical or computational aspects of operations research, aiming at making such methodologies accessible for a wider audience.

All papers are refereed.

The emphasis is on originality, quality, and importance.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	1.2
2024	0.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.382

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	56

Journal Rank

Year	Value
2024	14237

Journal Citation Indicator

Year	Value
2024	138

---

---

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

---

Subjects & Keywords

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

---

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.

• Biconvex sets and optimization with biconvex functions: a survey and extensions

  Citation: 537

  Authors: Jochen, Frank, Kathrin

• Steepest descent methods for multicriteria optimization

  Citation: 491

  Authors: Jörg, Benar Fux

• A review of multi-component maintenance models with economic dependence

  Citation: 367

  Authors: Rommert, Ralph E., Frank A.

• Covering models and optimization techniques for emergency response facility location and planning: a review

  Citation: 291

  Authors: Xueping, Zhaoxia, Xiaoyan, Tami

• Strong convergence theorems by a relaxed extragradient method for a general system of variational inequalities

  Citation: 182

  Authors: Lu-Chuan, Chang-yu, Jen-Chih

• A note on generalized inverses

  Citation: 169

  Authors: Paul, Marius

• Benchmark and mean-variance problems for insurers

  Citation: 162

  Authors: Nicole

• Contingent epiderivatives and set-valued optimization

  Citation: 161

  Authors: Johannes, R�diger

• Two basic problems in reliability-based structural optimization

  Citation: 157

  Authors: Norbert, R�diger

• Reliability-Based Optimization of structural systems

  Citation: 151

  Authors: Markus, Gerhart Iwo

---