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European Journal of Operational Research - Elsevier | 2024 Impact Factor:6.0 | Cite Score:13.2 | Q1

European Journal of Operational Research

Impact Factor and Journal Rank of European Journal of Operational Research

  • About: European Journal of Operational Research is a peer-reviewed journal published by Elsevier. It focuses on the theory, methodology, and applications of operational research (OR) in decision-making and problem-solving across various domains. The journal provides a platform for researchers, practitioners, and policymakers to publish original research articles, reviews, and applications that advance the field of operational research.
  • Objective: The primary objective of European Journal of Operational Research is to promote the dissemination of high-quality research in operational research and related areas. The journal aims to facilitate the exchange of ideas and methodologies among researchers and practitioners worldwide. By publishing innovative research findings, the journal contributes to the development and application of OR techniques to address complex decision-making and optimization problems.
  • Interdisciplinary Focus: European Journal of Operational Research adopts an interdisciplinary approach, welcoming contributions from various fields related to operational research, including but not limited to, Management Science, Economics, Engineering, Computer Science, Mathematics, Finance, Supply Chain Management, Healthcare Management, Environmental Management and Transportation. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of novel OR methodologies and their application to diverse problem domains.
  • Global Reach and Impact: With a broad international readership and authorship, European Journal of Operational Research has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in operational research worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as optimization, decision analysis, simulation, and risk management.
  • High Standards and Rigorous Review: Maintaining high academic standards, European Journal of Operational Research conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific significance of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
  • Significance: European Journal of Operational Research plays a significant role in advancing research and practice in operational research and decision-making. By providing a platform for the publication of state-of-the-art research findings, the journal contributes to the growth of knowledge and innovation in OR methodologies and their applications. It serves as an essential resource for researchers, practitioners, and policymakers seeking to address complex decision-making and optimization challenges in various domains.

  • Editor-in-Chief:  R. SÅ‚owiÅ„ski

  • Scope: The European Journal of Operational Research, published by Elsevier, is a leading peer-reviewed journal that focuses on the theory, methodology, and applications of operational research (OR) and management science. It provides a platform for researchers, practitioners, and policymakers to exchange ideas and insights on optimizing decision-making processes across various sectors and disciplines. Here is an overview of its key focus areas and scope:
  • 1. Optimization:
    Research on mathematical optimization techniques, including linear programming, integer programming, nonlinear programming, and combinatorial optimization.
    Advancements in optimization algorithms, optimization under uncertainty, and global optimization methods.
  • 2. Decision Analysis and Decision Support Systems:
    Topics covering decision analysis methodologies, multi-criteria decision-making, and decision support systems (DSS).
    Research on uncertainty modeling, risk analysis, and stochastic optimization in decision support.
  • 3. Simulation and Stochastic Modeling:
    Advancements in simulation techniques and stochastic modeling approaches for analyzing complex systems and processes.
    Research on discrete-event simulation, agent-based modeling, and Markov decision processes.
  • 4. Forecasting and Predictive Analytics:
    Topics covering time series analysis, forecasting methods, and predictive analytics techniques for demand forecasting, financial forecasting, and risk prediction.
    Research on machine learning algorithms, predictive modeling, and predictive maintenance.
  • 5. Supply Chain Management and Logistics:
    Advancements in supply chain optimization, inventory management, transportation logistics, and distribution network design.
    Research on supply chain coordination, risk management, and sustainable supply chain practices.
  • 6. Revenue Management and Pricing:
    Topics covering revenue management strategies, dynamic pricing models, and yield optimization techniques in industries such as airlines, hospitality, and retail.
    Research on pricing analytics, price optimization algorithms, and revenue maximization strategies.
  • 7. Production and Operations Management:
    Advancements in production planning, scheduling, capacity planning, and quality management.
    Research on lean manufacturing, agile operations, and operations strategy.
  • 8. Applications of OR in Various Industries:
    Case studies and applications of operational research methodologies in diverse sectors, including healthcare, finance, energy, telecommunications, and public services.
    Research on the practical implementation of OR techniques to address real-world challenges and improve operational efficiency.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  03772217

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  6.0

  • Subject Area and Category:  Computer Science,Computer Science (miscellaneous),Decision Sciences,Information Systems and Management ,Management Science and Operations Research,athematics,Modeling and Simulation

  • Publication Frequency:  

  • H Index:  319

  • Best Quartile:

    Q1:  Computer Science (miscellaneous)

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  13.2

  • SNIP:  2.618

  • Journal Rank(SJR):  2.239