Queueing Systems - Springer Nature - Impact Factor

Queueing Systems Journal - Springer Nature | 2024 Impact Factor:0.7 | Cite Score:2.3 | Q2

Impact Factor and Journal Rank of Queueing Systems

About: International Journal of Humanoid Robotics (IJHR) is a leading, peer-reviewed journal dedicated to the advancements and applications of humanoid robotics. The journal covers a broad spectrum of research areas related to the design, development, and application of humanoid robots.
Interdisciplinary Approaches
IJHR encourages interdisciplinary research that combines multiple fields to advance humanoid robotics. This includes:
Biomechanics: Applying principles of human movement and anatomy to robot design and function.
Neuroscience: Leveraging insights from neuroscience to develop more effective control and cognitive systems for robots.
Computer Vision: Integrating advanced vision systems to enhance robot perception and interaction capabilities.
Machine Learning: Utilizing machine learning techniques to improve robot learning and adaptation.
Ethics and Social Impact: Exploring the ethical considerations and societal impacts of deploying humanoid robots.
Impact and Significance
The journal aims to:
Promote Technological Advancement: Drive innovation in the design and functionality of humanoid robots.
Enhance Human-Robot Collaboration: Improve the ways in which robots can assist and interact with humans in various settings.
Support Academic and Industrial Research: Provide a platform for the dissemination of high-quality research from both academia and industry.
Influence Future Development: Set the direction for future research and development in the field of humanoid robotics.
Types of Articles Accepted
IJHR accepts a variety of article types, including:
Research Papers: Comprehensive reports of original research with significant contributions to the field of humanoid robotics.
Review Articles: Critical reviews of the current state-of-the-art and emerging trends in humanoid robotics.
Short Communications: Brief reports on novel findings or preliminary results with high potential impact.
Case Studies: Detailed reports on the application of humanoid robots in real-world scenarios.
Special Issues: Collections of papers focused on specific themes or topics of interest in humanoid robotics.

Journal Home: Journal Homepage

Editor-in-Chief: Michel Mandjes

Scope: Queueing Systems is a peer-reviewed journal that publishes original research articles, reviews, and technical notes in the field of queueing theory and its applications. The journal aims to provide a platform for the dissemination of significant contributions to the theoretical foundations, methodologies, and practical applications of queueing systems. The journal covers a wide range of topics within queueing systems, including but not limited to:
Theoretical Queueing Models: Development and analysis of mathematical models for queueing systems, including single-server queues, multi-server queues, and networks of queues.
Performance Analysis: Methods for evaluating queueing system performance metrics such as waiting times, queue lengths, and throughput.
Queueing Networks: Studies on the behavior and optimization of complex queueing networks, including open and closed networks.
Stochastic Processes: Application of stochastic processes such as Markov chains and Markov decision processes to model queueing phenomena.
Queueing Applications: Practical applications of queueing theory in various domains, including telecommunications, computer systems, healthcare systems, manufacturing, transportation, and service operations.
Simulation and Modeling: Techniques and methodologies for simulating queueing systems and validating theoretical models.
Queueing Algorithms: Development and analysis of algorithms for efficient management and control of queueing systems.
Queueing in Communication Systems: Analysis of queueing behavior in communication networks, including protocols, congestion control, and traffic management.
Economic Aspects: Economic analysis and optimization of queueing systems, including cost models and revenue management.