Computers and Operations Research

Aims & Scope

Operations research and computers interact in many scientific fields of vital importance to our society.

These include, among others, transportation, economics, investment strategy, inventory control, logistics, safety, reliability, urban planning, and ecology.

Computers & Operations Research (COR) provides an international forum for the application of computers and operations research techniques to problems in these and related fields.

The common element in all the scientific areas that this Journal addresses is the need for some optimization methodology for determining viable solutions to problems, using computers and the techniques of operations research.

However, it is not only the methodology which is of interest: the applications are of equal importance.

The two are mutually supportive, since understanding the application helps one greatly to comprehend the optimization methods used, and vice versa.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.3
2024	4.10

Journal Rank

Year	Value
2024	2125

Journal Citation Indicator

Year	Value
2024	5245

SJR (SCImago Journal Rank)

Year	Value
2024	1.605

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	194

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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 Computer Science, 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.

• Variable neighborhood search

  Citation: 3248

  Authors: N., P.

• Future paths for integer programming and links to artificial intelligence

  Citation: 2933

  Authors: Fred

• Determining objective weights in multiple criteria problems: The critic method

  Citation: 2308

  Authors: D., G., L.

• A general heuristic for vehicle routing problems

  Citation: 1035

  Authors: David, Stefan

• Forecasting stock market movement direction with support vector machine

  Citation: 809

  Authors: Wei, Yoshiteru, Shou-Yang

• A simple and effective evolutionary algorithm for the vehicle routing problem

  Citation: 799

  Authors: Christian

• A new approach for multiple objective decision making

  Citation: 792

  Authors: Ching-Lai, Young-Jou, Ting-Yun

• A genetic algorithm for the Flexible Job-shop Scheduling Problem

  Citation: 771

  Authors: F., G., G.

• Inter-company comparison using modified TOPSIS with objective weights

  Citation: 742

  Authors: Hepu, Chung-Hsing, Robert J.

• Multiobjective cuckoo search for design optimization

  Citation: 733

  Authors: Xin-She, Suash

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