INFOR-Information Systems and Operational Research - Taylor and Francis | 2024 Impact Factor:1.6 | Cite Score:2.4 | Q3

Impact Factor and Journal Rank of INFOR-Information Systems and Operational Research

• About: INFOR - Information Systems and Operational Research aims to provide a platform for researchers, practitioners, and academics to disseminate research findings and advancements in the interdisciplinary areas of information systems and operational research. By fostering collaboration between the two fields, the journal contributes to the development of innovative solutions and methodologies for addressing complex real-world challenges in various domains.
• Objective:
  The primary objective of INFOR - Information Systems and Operational Research is to facilitate the exchange of knowledge and ideas between information systems and operational research disciplines. The journal publishes original research articles, reviews, and application papers that explore theoretical insights, methodological advancements, and practical implementations in areas such as optimization methods, decision theory, stochastic models, simulation, game theory, queueing systems, inventory management, reliability, and more. By integrating perspectives from both fields, the journal aims to enhance the understanding and application of operational research techniques in designing and managing information systems for improved decision-making and performance optimization.
• Interdisciplinary Approach:
  INFOR embraces an interdisciplinary approach, encouraging contributions that combine insights from information systems and operational research methodologies. The journal covers diverse interdisciplinary topics such as IT-enabled business process improvement, data analytics for operational decision support, supply chain management optimization using simulation models, cybersecurity risk assessment frameworks, and human-computer interaction in complex information environments. By promoting collaboration across disciplines, INFOR facilitates the development of integrated solutions that leverage operational research techniques to enhance the design, management, and performance of information systems in various organizational and societal contexts.
• Impact:
  The impact of INFOR - Information Systems and Operational Research extends to both academic research and practical applications. By publishing high-quality research articles and application papers, the journal contributes to advancing knowledge and methodologies in operational research and information systems. The journals publications inform the development of innovative solutions that address real-world challenges, optimize decision-making processes, improve system performance, and enhance organizational efficiency across different sectors. The emphasis on rigorous research and practical relevance ensures that the journals contributions support the continuous evolution and application of operational research techniques in designing and managing information systems for sustainable development and societal well-being.
• Significance:
  INFOR - Information Systems and Operational Research holds significant importance for researchers, practitioners, and academics interested in advancing the fields of operational research and information systems. The journals contributions include advancing theoretical frameworks, exploring new applications of operational research techniques in information systems design and management, and addressing practical challenges in optimizing complex organizational processes and decision-making environments. By providing insights into the latest developments, emerging trends, and best practices in integrating operational research with information systems, the journal serves as a valuable resource for enhancing interdisciplinary collaboration and promoting innovative solutions that address global challenges in todays interconnected world. It supports the continuous advancement of knowledge and innovation in operational research and information systems, contributing to sustainable development and societal well-being through improved decision support and system optimization.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Joe Naoum-Sawaya

• Scope: INFOR is a peer-reviewed journal that focuses on the intersection of information systems (IS) and operational research (OR). It publishes high-quality research articles, reviews, and application papers that contribute to the theoretical development and practical applications of IS and OR methodologies. Key areas covered by the journal include:
• Operational Research Methodologies:
  Advanced mathematical modeling techniques, optimization methods, decision theory, stochastic processes, simulation, queuing theory, game theory, and network optimization.
• Information Systems:
  Design, development, implementation, and management of information systems, including enterprise information systems, decision support systems, knowledge management systems, and business intelligence.
• Analytics and Decision Support:
  Applications of analytics, data mining, big data analytics, predictive modeling, and prescriptive analytics in decision support and operational decision-making.
• Supply Chain Management:
  Optimization and modeling of supply chain networks, logistics operations, inventory management, transportation systems, and supply chain analytics.
• Healthcare Operations Management:
  Applications of OR and IS in healthcare systems, healthcare operations management, healthcare analytics, patient flow optimization, and healthcare decision support.
• Financial Engineering:
  Applications of OR techniques in finance, financial risk management, portfolio optimization, financial modeling, algorithmic trading, and computational finance.
• Energy Systems:
  Optimization and management of energy systems, renewable energy integration, energy efficiency, smart grids, and sustainability analytics.
• Service Operations:
  Modeling and optimization of service systems, service operations management, queueing systems, service quality management, and service innovation.
• Decision Analysis and Support Systems:
  Development and applications of decision support systems, multi-criteria decision-making, group decision support systems, and collaborative decision-making.
• OR in Engineering and Technology:
  Applications of OR techniques in engineering systems, manufacturing operations, project management, risk assessment, and technology innovation.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  0315-5986

  Electronic ISSN:  1916-0615

• Abstracting and Indexing:  Science Citation Index Expanded. Scopus.

• Imapct Factor 2024:  1.6

• Subject Area and Category:  Health Sciences, Computer Sciences, Electronics and Telecommunications, Library and Information Science.

• Publication Frequency:  Quarterly

• H Index:  38

• Best Quartile:

  Q1:  

  Q2:  

  Q3:  Computer Science Applications

  Q4:  

• Cite Score:  2.4

• SNIP:  0.541

• Journal Rank(SJR):  0.387

• Latest Articles:   Latest Articles in INFOR-Information Systems and Operational Research

• Guidelines for Authors: INFOR-Information Systems and Operational Research Author Guidelines

• Paper Submissions: Paper Submissions in INFOR-Information Systems and Operational Research

• Publisher:  Taylor and Francis Ltd

  Country:   Canada

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