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International Journal of Mathematics in Operational Research - Inderscience | 2024 Cite Score:2.0 | Q3

International Journal of Mathematics in Operational Research With Cite Score

Cite Score and Journal Rank of International Journal of Mathematics in Operational Research

  • About: The International Journal of Mathematics in Operational Research is a peer-reviewed academic journal dedicated to the integration of mathematical methodologies and operational research. It focuses on the development and application of mathematical techniques to solve complex operational problems across various industries. The journal publishes high-quality research articles, reviews, and technical notes that contribute to advancements in both mathematical theory and operational research practices.
  • Objective:
    The primary objective of the International Journal of Mathematics in Operational Research is to advance the field of operational research by incorporating sophisticated mathematical models and methods. The journal aims to provide a platform for research that enhances the understanding and application of mathematical approaches to operational problems. It seeks to foster innovation and knowledge exchange among researchers, practitioners, and policymakers in the field of operational research.
  • Interdisciplinary Approach:
    The International Journal of Mathematics in Operational Research embraces an interdisciplinary approach by integrating research from various domains related to mathematics and operational research. This includes areas such as optimization, statistics, game theory, and mathematical modeling. The journal encourages contributions that bridge these disciplines to develop comprehensive solutions to operational challenges in diverse fields such as logistics, finance, healthcare, and manufacturing.
  • Impact:
    The journal has a notable impact on both theoretical and practical aspects of operational research and mathematics. International Journal of Mathematics in Operational Research is widely cited by researchers, practitioners, and industry professionals engaged in applying mathematical techniques to operational problems. The research published in the journal contributes to the development of new methodologies, tools, and insights that drive advancements in the field.
  • Significance:
    The International Journal of Mathematics in Operational Research plays a crucial role in advancing the integration of mathematics and operational research. By providing a platform for high-quality research and innovative applications, the journal supports the development of new mathematical approaches and their application to operational problems. Its focus on interdisciplinary research makes it a valuable resource for scholars, practitioners, and policymakers seeking to leverage mathematical methods to address complex operational challenges.
  • Latest Research Topics for PhD in Computer Science
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  • Editor-in-Chief:  Prof. Angappa Gunasekaran

  • Scope: The International Journal of Mathematics in Operational Research focuses on the application of mathematical techniques and methodologies to solve problems in operational research. The journal publishes research that integrates mathematical theory and operational research to address complex decision-making and optimization problems. Its scope includes, but is not limited to, the following areas:
  • Optimization: Research on various optimization techniques, including linear, nonlinear, integer, and dynamic programming, and their applications to operational research problems.
  • Stochastic Models: Development and application of stochastic models to handle uncertainty in decision-making processes, including queueing theory, inventory models, and reliability analysis.
  • Simulation: Studies on the use of simulation methods to model and analyze complex systems, including Monte Carlo methods and discrete event simulation.
  • Decision Theory: Exploration of decision-making frameworks and models, including multi-criteria decision analysis (MCDA), game theory, and Bayesian decision theory.
  • Mathematical Programming: Application of mathematical programming techniques to solve optimization problems, including convex and non-convex programming, as well as constraint satisfaction problems.
  • Operational Research Methodologies: Development and refinement of methodologies and algorithms used in operational research, including heuristics, metaheuristics, and exact methods.
  • Logistics and Supply Chain Management: Research on mathematical models and solutions for logistics and supply chain optimization, including transportation, routing, and scheduling problems.
  • Network Optimization: Studies on optimization problems related to network design and analysis, including transportation networks, communication networks, and utility networks.
  • Industrial Engineering Applications: Application of mathematical techniques to problems in industrial engineering, including manufacturing processes, quality control, and production planning.
  • Financial Engineering: Research on mathematical models and techniques used in financial engineering, including risk management, portfolio optimization, and pricing of financial derivatives.
  • Healthcare Operations: Application of operational research methods to healthcare systems, including patient scheduling, resource allocation, and healthcare delivery optimization.
  • Energy Systems: Studies on the optimization and management of energy systems, including power generation, distribution, and consumption.
  • Algorithmic Design: Development of algorithms for solving mathematical and operational research problems, including algorithmic complexity and efficiency analysis.
  • Applied Mathematics: Research on the application of mathematical theories and techniques to real-world operational research problems, including case studies and practical implementations.
  • Computational Methods: Development and application of computational methods for solving mathematical and operational research problems, including numerical analysis and software development.

  • Print ISSN:  1757-5850

    Electronic ISSN:  1757-5869

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Decision Sciences ,Mathematics,Modeling and Simulation

  • Publication Frequency:  

  • H Index:  31

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Decision Sciences (miscellaneous)

    Q4:  

  • Cite Score:  2.0

  • SNIP:  0.565

  • Journal Rank(SJR):  0.303