Queue - ACM | 2024 Cite Score:2.5 | Q1

Cite Score and Journal Rank of Queue

• About: Queue Journal
  About:
  The Queue Journal is a peer-reviewed publication focused on the study and analysis of queueing theory and its applications. It provides a platform for researchers, practitioners, and academics to publish original research articles, case studies, and reviews on topics related to queueing models, systems, and techniques used to analyze and optimize various types of queues.
• Objective:
  The primary objective of the journal is to advance the understanding and application of queueing theory in solving practical problems and optimizing systems. It aims to facilitate the dissemination of research that addresses theoretical advancements, practical implementations, and new methodologies in the field of queueing theory.
• Topics Covered:
  The Queue Journal covers a wide range of topics including: - Theoretical developments in queueing models - Stochastic processes and their applications in queueing - Performance analysis of queueing systems - Simulation and modeling techniques for queueing systems - Optimization and control of queues - Applications of queueing theory in various domains, such as telecommunications, manufacturing, and healthcare - Queues with complex structures and constraints - Data analysis and empirical studies related to queueing systems
• Impact:
  The journal significantly impacts both academia and industry by promoting research that enhances the understanding and application of queueing theory. Its publications contribute to the development of new models, techniques, and solutions for optimizing queueing systems and improving performance across various sectors.
• Significance:
  The Queue Journal is significant in advancing the field of queueing theory by providing a forum for high-quality, peer-reviewed research. By focusing on both theoretical and practical aspects of queueing systems, the journal supports the development of innovative approaches and solutions that drive progress in optimizing and managing queues.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Stephen R. Bourne

• Scope: Queue is a journal that focuses on the study and analysis of queueing theory and its applications. It covers a range of topics related to the modeling, analysis, and optimization of systems where entities are served in sequences, such as in telecommunications, computer networks, and various service systems. Here are the key areas typically covered in this journal:
• 1. Queueing Theory Fundamentals
  Research on the theoretical aspects of queueing models and processes
  Studies on basic and advanced queueing models, including single-server and multi-server queues
  Analysis of fundamental properties such as arrival and service processes, waiting times, and system performance metrics
• 2. Stochastic Processes and Models
  Research on stochastic processes relevant to queueing theory, such as Markov processes, renewal processes, and point processes
  Studies on the mathematical modeling of random phenomena in queueing systems
  Development of new stochastic models and their applications in various domains
• 3. Performance Analysis and Optimization
  Research on performance metrics and evaluation techniques for queueing systems
  Studies on optimizing system performance, including reducing waiting times, improving service efficiency, and managing system capacity
  Development of algorithms and methods for performance analysis and optimization
• 4. Applications of Queueing Theory
  Research on applying queueing theory to real-world problems in fields such as telecommunications, computer networks, manufacturing, and transportation
  Studies on the design and analysis of queueing systems in practical applications
  Development of case studies and practical examples demonstrating the application of queueing models
• 5. Queueing Networks and Systems
  Research on complex queueing networks, including interconnected queues and multi-stage systems
  Studies on the analysis and optimization of queueing networks in various settings
  Development of methods for modeling and managing networked queueing systems
• 6. Simulation and Computational Methods
  Research on simulation techniques for analyzing queueing systems
  Studies on computational methods and tools for modeling, simulating, and analyzing queueing processes
  Development of software and algorithms for queueing simulations and performance evaluation
• 7. Queueing Theory in Computer Science and Engineering
  Research on the application of queueing theory in computer science and engineering
  Studies on queueing models for computer systems, networks, and data centers
  Development of techniques for managing and optimizing computing resources using queueing theory
• 8. Healthcare and Service Systems
  Research on applying queueing theory to healthcare systems, including patient flow, resource allocation, and service delivery
  Studies on queueing models for various service systems, such as call centers, retail operations, and public services
  Development of solutions for improving service efficiency and customer satisfaction in service systems
• 9. Queueing Theory and Operations Research
  Research on the intersection of queueing theory and operations research
  Studies on optimization problems related to queueing systems, including inventory management and scheduling
  Development of integrated approaches that combine queueing theory with operations research techniques
• 10. Theoretical Advances and New Directions
  Research on theoretical advances in queueing theory, including new models, techniques, and mathematical results
  Studies on emerging trends and future directions in queueing research
  Development of innovative approaches and methodologies for advancing the field of queueing theory
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  1542-7730

  Electronic ISSN:  1542-7749

• Abstracting and Indexing:  Scopus

• Imapct Factor :  

• Subject Area and Category:  Computer Science, Computer Science (miscellaneous)

• Publication Frequency:  

• H Index:  51

• Best Quartile:

  Q1:  Computer Science (miscellaneous)

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  2.5

• SNIP:  1.639

• Journal Rank(SJR):  0.859

• Latest Articles:   Latest Articles in Queue

• Guidelines for Authors: Queue Author Guidelines

• Paper Submissions: Paper Submissions in Queue

• Publisher:  Association for Computing Machinery (ACM)

  Country:  United States

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