Mathematics of Operations Research - Informs | 2024 Impact Factor:4.3 | Cite Score:4.0 | Q1

Impact Factor and Journal Rank of Mathematics of Operations Research

• About: Mathematics of Operations Research is a peer-reviewed academic journal published by INFORMS. It focuses on the rigorous development and analysis of mathematical models and algorithms used in operations research. The journal provides a platform for researchers and practitioners to publish original research articles, surveys, and technical notes that advance the theoretical and practical aspects of operations research.
• Objective: The primary objective of Mathematics of Operations Research is to promote research and innovation in the mathematical foundations of operations research. The journal aims to explore novel mathematical approaches, models, and algorithms that address complex optimization problems, decision-making processes, and operational strategies. By publishing high-quality research, the journal contributes to the advancement of mathematical methodologies and their applications in operations research.
• Interdisciplinary Focus: Mathematics of Operations Research adopts an interdisciplinary approach, welcoming contributions from various fields related to operations research, including but not limited to: Applied Mathematics Optimization Game Theory Probability and Statistics Stochastic Processes Algorithm Design Mathematical Programming Control Theory Computational Mathematics Decision Analysis This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced mathematical techniques and solutions that address complex operational challenges in diverse areas.
• Global Reach and Impact: With a broad international readership and authorship, Mathematics of Operations Research has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in mathematical models and algorithms worldwide. The journal content influences both academic research and industrial applications, driving progress in areas such as optimization, logistics, finance, and resource management.
• High Standards and Rigorous Review: Maintaining high academic standards, Mathematics of Operations 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 rigor 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: Mathematics of Operations Research plays a significant role in advancing research and practice in operations research. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in mathematical methodologies. It serves as an essential resource for researchers, practitioners, and educators seeking to leverage mathematical models and algorithms to solve complex operational problems and improve decision-making processes in various fields.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Katya Scheinberg

• Scope: The Mathematics of Operations Research Journal is a premier academic journal that focuses on the development and application of mathematical methods and models to solve problems in operations research. It serves as a platform for researchers, practitioners, and educators to present their latest theoretical advancements, methodological innovations, and practical applications in the field. Here is an overview of its key focus areas and scope:
• 1. Optimization:
  Research on various optimization techniques, including linear programming, nonlinear programming, integer programming, and combinatorial optimization.
  Studies on algorithm development, complexity analysis, and performance evaluation for solving optimization problems.
• 2. Stochastic Models:
  Advancements in stochastic modeling and analysis of systems subject to uncertainty.
  Research on Markov chains, stochastic processes, queueing theory, and stochastic optimization.
• 3. Game Theory:
  Studies on the application of game theory to model and analyze competitive and cooperative interactions.
  Research on equilibrium concepts, auction theory, mechanism design, and evolutionary games.
• 4. Network Models:
  Research on the design, analysis, and optimization of network systems, including transportation, communication, and supply chain networks.
  Studies on network flows, network reliability, and network optimization algorithms.
• 5. Decision Analysis:
  Advancements in decision analysis techniques for making optimal decisions under uncertainty.
  Research on multi-criteria decision making, utility theory, and decision support systems.
• 6. Simulation:
  Studies on the development and application of simulation techniques to model complex systems and processes.
  Research on discrete-event simulation, Monte Carlo methods, and simulation optimization.
• 7. Inventory and Production Systems:
  Research on the modeling and optimization of inventory and production systems.
  Studies on inventory control policies, production scheduling, and supply chain management.
• 8. Scheduling and Project Management:
  Advancements in scheduling theory and project management methodologies.
  Research on job scheduling, resource allocation, and project planning and control.
• 9. Financial Engineering:
  Studies on the application of operations research methods to financial markets and instruments.
  Research on portfolio optimization, risk management, and financial derivatives pricing.
• 10. Data Analytics and Machine Learning:
  Research on the integration of data analytics and machine learning techniques with operations research models.
  Studies on predictive analytics, prescriptive analytics, and the use of big data in decision-making processes.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  0364-765X

  Electronic ISSN:  1526-5471

• Abstracting and Indexing:  Scopus, Science Citation Index Expanded

• Imapct Factor 2024:  4.3

• Subject Area and Category:  Computer Science,Computer Science Applications ,Information Systems,Decision Sciences,Information Systems and Management,Social Sciences,Communication,Library and Information Sciences

• Publication Frequency:  Quarterly

• H Index:  96

• Best Quartile:

  Q1:  Computer Science Applications

  Q2:  

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• Cite Score:  4.0

• SNIP:  1.898

• Journal Rank(SJR):  1.349

• Latest Articles:   Latest Articles in Mathematics of Operations Research

• Guidelines for Authors: Mathematics of Operations Research Author Guidelines

• Paper Submissions: Paper Submissions in Mathematics of Operations Research

• Publisher:  INFORMS Institute for Operations Research and the Management Sciences

  Country:  United States

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