Informs Journal on Computing - Impact Factor

Informs Journal on Computing | 2024 Impact Factor:2.1 | Cite Score:5.2 | Q1

Impact Factor and Journal Rank of Informs Journal on Computing

About: Informs Journal on Computing is a premier scholarly journal that publishes high-quality, peer-reviewed research on the intersection of operations research, computer science, and artificial intelligence. The journal serves as a vital platform for researchers, engineers, and practitioners to present innovations, theoretical advancements, and practical applications in computational methods and their application to decision-making processes.
The journal covers a broad range of topics, including but not limited to:
Algorithm Design and Analysis
Optimization Methods
Simulation
Computational Economics
Machine Learning and Data Mining
Computational Game Theory
Network Design and Analysis
Information Retrieval
Artificial Intelligence Applications in Operations Research
Cybersecurity
Parallel and Distributed Computing
Bioinformatics and Computational Biology
Publication Types:
Informs Journal on Computing publishes various types of articles, including:
Research Articles: Original research contributions that advance the theory and practice of computational methods.
Review Papers: Comprehensive reviews of the state-of-the-art in specific computational research areas.
Technical Notes: Brief reports on innovative methodologies or significant improvements to existing techniques.
Application Papers: Practical applications of computational methods in real-world decision-making scenarios.
Impact and Contribution:
Informs Journal on Computing plays a crucial role in shaping the future of computational methods and their applications by publishing high-quality, peer-reviewed research. The journal fosters collaboration among researchers, engineers, and practitioners worldwide, driving both theoretical advancements and practical solutions in the field. Its contributions extend to academia, industry, and society, influencing the development of innovative computational strategies and applications.

Journal Home: Journal Homepage

Editor-in-Chief: Alice E. Smith

Scope: The INFORMS Journal on Computing publishes high-quality research articles that bridge the gap between operations research, computer science, and information technology. The journal emphasizes the development and application of computational techniques to solve complex problems in various domains. Key topics covered in the journal include:
Optimization: Advances in algorithms and methodologies for linear, nonlinear, integer, and combinatorial optimization problems.
Simulation: Research on simulation modeling, analysis, and applications, including discrete-event, Monte Carlo, and agent-based simulation techniques.
Artificial Intelligence and Machine Learning: Development and application of AI and machine learning algorithms to solve operations research and decision-making problems.
Data Mining and Big Data: Techniques for extracting meaningful patterns, insights, and knowledge from large and complex datasets.
Computational Biology and Bioinformatics: Computational approaches to biological and biomedical problems, including genomics, proteomics, and systems biology.
Network Design and Analysis: Studies on the design, optimization, and analysis of communication, transportation, and logistics networks.
Computational Finance: Application of computational methods to financial modeling, risk management, portfolio optimization, and pricing of financial instruments.
Heuristics and Metaheuristics: Development and analysis of heuristic and metaheuristic algorithms for solving complex optimization problems.