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Operations Research Letters - Elsevier | 2024 Impact Factor:0.9 | Cite Score:2.0 | Q2

Operations Research Letters Journal

Impact Factor and Journal Rank of Operations Research Letters

  • About: Operations Research Letters (ORL) is a peer-reviewed journal that publishes high-quality, concise research articles in the field of operations research. The journal focuses on short, impactful papers that present new theoretical insights, innovative methodologies, and significant applications in all areas of operations research. Topics covered by ORL include optimization, game theory, stochastic models, decision analysis, simulation, and supply chain management. The aim of the journal is to facilitate rapid dissemination of cutting-edge research and to foster advancements in both the theory and practice of operations research.
  • Objective:
    The primary objective of Operations Research Letters is to provide a platform for researchers to publish brief, high-impact papers that contribute to the advancement of operations research. The journal seeks to encourage the rapid exchange of ideas and findings within the operations research community. ORL aims to support the development of innovative approaches and solutions to complex decision-making problems across various industries and sectors. By focusing on concise articles, the journal ensures that significant results and insights are disseminated promptly to researchers and practitioners.
  • Interdisciplinary Approach:
    ORL adopts an interdisciplinary approach, welcoming contributions that integrate operations research with other fields such as mathematics, computer science, engineering, economics, and management science. The journal covers a wide range of interdisciplinary topics, including mathematical programming, algorithm design, statistical analysis, and practical applications in logistics, finance, healthcare, and manufacturing. By embracing a multidisciplinary perspective, ORL fosters collaboration and innovation at the intersections of operations research and other scientific disciplines, addressing complex real-world problems through diverse methodologies and insights.
  • Impact:
    The impact of Operations Research Letters is evident in its role in advancing the state-of-the-art in operations research theory and practice. By publishing succinct, high-quality research articles, the journal influences the development of new optimization techniques, decision-making models, and analytical methods. ORLs publications contribute to solving practical problems in areas such as supply chain management, transportation, telecommunications, and energy systems. The journals emphasis on rapid dissemination ensures that important discoveries and innovations reach the operations research community and beyond, fostering ongoing advancements and applications.
  • Significance:
    Operations Research Letters is significant for researchers, educators, practitioners, and policymakers who seek to advance the field of operations research and apply its methodologies to address complex decision-making challenges. The journals contributions include developing new theoretical frameworks, enhancing computational techniques, and providing practical insights for optimizing operations and improving efficiency in various sectors. By promoting rigorous research and innovative approaches, ORL supports the continuous improvement of operations research practices and their impact on industry, government, and society. It serves as a vital resource for those aiming to stay abreast of the latest developments and trends in the field of operations research.

  • Editor-in-Chief:  Wolfram Wiesemann

  • Scope: Operations Research Letters is a peer-reviewed journal that publishes high-quality, concise papers in all areas of operations research and the management sciences. The journal emphasizes quick publication of brief articles that make significant contributions to the field. It covers a broad range of topics, including:
  • Optimization:
    Studies on linear, nonlinear, integer, combinatorial, and stochastic optimization, including new algorithms, theoretical insights, and practical applications.
  • Game Theory:
    Research on cooperative and non-cooperative games, equilibrium concepts, auction theory, bargaining, and strategic decision-making.
  • Decision Analysis:
    Techniques and methodologies for decision making under uncertainty, multi-criteria decision analysis, and risk management.
  • Queueing Theory:
    Analysis of queuing models, performance evaluation, and applications in telecommunications, manufacturing, and service systems.
  • Inventory and Supply Chain Management:
    Studies on inventory control, production planning, supply chain optimization, logistics, and distribution systems.
  • Stochastic Models:
    Research on stochastic processes, Markov decision processes, Monte Carlo simulations, and applications in various domains such as finance and insurance.
  • Scheduling:
    Optimization of scheduling problems, including job scheduling, machine scheduling, and project scheduling in various industrial and service environments.
  • Network Design and Analysis:
    Design, analysis, and optimization of networks, including transportation networks, communication networks, and social networks.
  • Approximation Algorithms:
    Development and analysis of approximation algorithms for complex optimization problems where exact solutions are infeasible.
  • OR Applications:
    Case studies and practical applications of operations research techniques in real-world problems, including healthcare, transportation, energy, and public policy.
  • Simulation:
    Techniques and methodologies for simulating complex systems, including discrete-event simulation, agent-based modeling, and hybrid simulation approaches.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  01676377

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Science Cittaion Index Expanded

  • Imapct Factor 2024:  0.9

  • Subject Area and Category:   Computer Science, Software, Decision Sciences, Management Science and Operations Research, Engineering, Industrial and Manufacturing Engineering, Mathematics, Applied Mathematics

  • Publication Frequency:  

  • H Index:  85

  • Best Quartile:

    Q1:  

    Q2:  Applied Mathematics

    Q3:  

    Q4:  

  • Cite Score:  2.0

  • SNIP:  0.678

  • Journal Rank(SJR):  0.437