INFORMS Journal on Computing

Aims & Scope

The INFORMS Journal on Computing (JOC) is a quarterly that publishes papers in the intersection of operations research (OR) and computer science (CS).

Most papers contain original research, but we also welcome special papers in a variety of forms, including Feature Articles on timely topics, Expository Reviews making a comprehensive survey and evaluation of a subject area, and State-of-the-Art Reviews that collect and integrate recent streams of research.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.1
2024	2.30

SJR (SCImago Journal Rank)

Year	Value
2024	1.439

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	93

Journal Rank

Year	Value
2024	2570

Journal Citation Indicator

Year	Value
2024	1223

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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 and Decision Sciences, 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.

• Feature Article: Optimization for simulation: Theory vs. Practice

  Citation: 633

  Authors: Michael C.

• Combinatorial Auctions: A Survey

  Citation: 614

  Authors: Sven, Rakesh V.

• Scatter Search and Local NLP Solvers: A Multistart Framework for Global Optimization

  Citation: 583

  Authors: Zsolt, Leon, John, Fred, James, Rafael

• A Unified Framework for Numerically Inverting Laplace Transforms

  Citation: 419

  Authors: Joseph, Ward

• A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions

  Citation: 392

  Authors: Rommel G., Christine A.

• The Granular Tabu Search and Its Application to the Vehicle-Routing Problem

  Citation: 372

  Authors: Paolo, Daniele

• The Knowledge-Gradient Policy for Correlated Normal Beliefs

  Citation: 301

  Authors: Peter, Warren, Savas

• State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments

  Citation: 297

  Authors: Jack P. C., Susan M., Thomas W., Thomas M.

• Algorithms for Hybrid MILP/CP Models for a Class of Optimization Problems

  Citation: 295

  Authors: Vipul, Ignacio E.

• Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research

  Citation: 291

  Authors: Kate A.

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