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Computers and Operations Research - Elsevier Ltd | 2024 Impact Factor: 4.3 | CiteScore: 8.9 | Q1

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Computers and Operations Research - Elsevier Ltd | 2024 Impact Factor: 4.3 | CiteScore: 8.9 | Q1

  • About this Journal:
  • Computers & Operations Research is a privileged forum for state-of-the-art work exploring the theory and practice of Operations Research (OR) intertwined with advanced computational methodologies. The journal publishes high-quality innovative and impactful research articles in theories, modeling, algorithms, and applications of Operations Research.Computers and Operations Research is an international journal that publishes high-quality research integrating computing and operations research methodologies for problem-solving in management, engineering, and applied sciences.
  • Since its first volume was printed in 1974, the journal has promoted different OR application areas that include but are not limited to Transportation, Logistics, Manufacturing, and Supply Chain Management. The journal has also triggered new trends in OR models and techniques such as Data Analytics, Decision-making under Uncertainty, and Behavioral OR. A strong focus has been put on recent advances in Statistics, Data Science, and Machine Learning. The journal focuses on the development and application of computational algorithms and modeling techniques to optimize decision-making in complex systems.
  • The form, content, and language of the articles should take cognizance of the breadth of applications covered by OR and of the consequent fact that many readers may not be experts in the scientific field to which the computer and operations research techniques are applied by the author. In particular, the abstract should concisely describe: 1. the investigated problem(s), 2. the theoretical or methodological contribution, and 3. the insights.It serves as a bridge between operations research theory, computer science, and practical applications across industries.
  • The publication encourages the dissemination of innovative computational approaches that improve efficiency, robustness, and scalability of optimization and simulation models.

  • Editor-in-Chief:  Francisco Saldanha-da-Gama

  • Scope of the Journal:
  • Mathematical modeling, optimization, and decision analysis.
  • Algorithms and computational methods for linear, nonlinear, and combinatorial optimization.
  • Simulation, stochastic modeling, and risk analysis in operations research.
  • Applications in logistics, supply chain management, transportation, and production systems.
  • Artificial intelligence, machine learning, and data analytics for decision support.
  • Heuristics, metaheuristics, and hybrid optimization techniques.
  • Operations research applications in healthcare, finance, and energy systems.
  • Latest Research Topics for PhD in Computer Science
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  • Latest Research Topics for PhD in Machine Learning
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  • Print ISSN:  03050548

    Electronic ISSN:  1873765X

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded (SCIE)

  • Imapct Factor 2024:  4.3

  • Subject Area and Category:  Computer Science (miscellaneous),Management Science and Operations Research, Modeling and Simulation

  • Publication Frequency:  Hybrid

  • H Index:  194

  • Best Quartile:

    Q1:  Computer Science (miscellaneous)

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  • Cite Score:  8.9

  • SNIP:  2.022

  • Journal Rank(SJR):  1.605