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International Journal of Parallel, Emergent and Distributed Systems - Taylor and Francis | 2024 Impact Factor:0.7 | Cite Score:2.3 | Q3

International Journal of Parallel, Emergent and Distributed Systems With Cite Score

Cite Score and Journal Rank of International Journal of Parallel, Emergent and Distributed Systems

  • About: International Journal of Parallel, Emergent and Distributed Systems (IJPEDS) is a peer-reviewed journal that focuses on research and advancements in the areas of parallel, emergent, and distributed systems. It covers a wide range of topics including parallel computing, distributed computing, emergent systems, and their applications. The journal aims to provide a comprehensive platform for the dissemination of significant research findings and innovative methodologies in these areas.
  • Objective:
    The primary objective of IJPEDS is to advance the understanding and development of parallel, emergent, and distributed systems by publishing high-quality research and practical insights. The journal seeks to offer a venue for researchers, practitioners, and educators to share their work on new algorithms, architectures, and applications in these fields. IJPEDS aims to support the progress of technologies and methods that enhance the performance, scalability, and functionality of parallel and distributed systems.
  • Interdisciplinary Approach:
    IJPEDS adopts an interdisciplinary approach, encouraging contributions from a range of disciplines including computer science, engineering, mathematics, and applied sciences. This approach ensures a broad exploration of topics related to parallel, emergent, and distributed systems, integrating diverse perspectives and methodologies. By promoting interdisciplinary research, the journal aims to address complex challenges and develop integrated solutions that advance the state of knowledge and practice in these areas.
  • Impact:
    The journal has a significant impact on both academic research and practical applications in the fields of parallel, emergent, and distributed systems. It is widely cited by researchers, practitioners, and industry professionals interested in the latest developments in these areas. The research published in IJPEDS contributes to the development of new algorithms, architectures, and systems that improve the efficiency and scalability of parallel and distributed computing. The journal serves as a valuable resource for professionals involved in the design, implementation, and optimization of these systems.
  • Significance:
    IJPEDS plays a crucial role in advancing the study and practice of parallel, emergent, and distributed systems by providing a platform for high-quality research and practical insights. Its contributions support the development of innovative technologies and methodologies that address current and future challenges in these fields. The journals commitment to excellence and interdisciplinary focus make it an essential resource for anyone involved in research, development, and application in parallel, emergent, and distributed systems. Through its rigorous scholarship and broad coverage, IJPEDS helps shape the future of computing systems, driving progress in their effective implementation and utilization.

  • Editor-in-Chief:  Andrew I. Adamatzky

  • Scope: The International Journal of Parallel, Emergent and Distributed Systems (IJPEDS) focuses on research in the areas of parallel computing, emergent systems, and distributed systems. Its scope includes, but is not limited to:
  • Parallel Computing: Research on techniques and architectures for parallel computation, including parallel algorithms, parallel architectures, parallel programming models, and performance optimization of parallel systems.
  • Distributed Systems: Exploration of concepts and technologies for distributed computing, including distributed algorithms, distributed system design, distributed databases, and fault tolerance in distributed systems.
  • Emergent Systems: Studies on systems that exhibit emergent behavior due to interactions between their components, including complex systems, self-organizing systems, and adaptive systems.
  • High-Performance Computing (HPC): Research on HPC systems and applications, including supercomputing architectures, parallel processing techniques, and applications of HPC in scientific computing and engineering.
  • Grid and Cloud Computing: Exploration of grid and cloud computing paradigms, including resource management, virtualization, cloud infrastructure, and cloud service models.
  • Concurrency and Synchronization: Studies on concurrency control mechanisms, synchronization techniques, and managing concurrent access in parallel and distributed systems.
  • Scalability and Performance: Research on scalability issues and performance optimization in parallel and distributed systems, including load balancing, performance metrics, and benchmarking.
  • Distributed Algorithms and Protocols: Exploration of algorithms and protocols for distributed systems, including consensus algorithms, distributed coordination, and communication protocols.
  • Networked and Ubiquitous Computing: Studies on networked and ubiquitous computing environments, including wireless sensor networks, Internet of Things (IoT), and pervasive computing.
  • Parallel and Distributed System Architectures: Research on the design and architecture of parallel and distributed systems, including multiprocessor systems, cluster computing, and heterogeneous computing environments.
  • Software and Tools for Parallel and Distributed Computing: Exploration of software frameworks, programming languages, and tools designed for parallel and distributed computing, including parallel libraries, compilers, and debugging tools.
  • Emergent Behavior in Systems: Research on the study and analysis of emergent behavior in complex systems, including agent-based modeling, swarm intelligence, and emergent phenomena in computational systems.
  • Applications of Parallel and Distributed Systems: Case studies and practical implementations of parallel and distributed systems in various domains, including scientific research, data analysis, and real-time processing.
  • Theoretical Foundations: Exploration of the theoretical aspects of parallel, emergent, and distributed systems, including complexity theory, formal methods, and mathematical models.
  • Security and Privacy in Parallel and Distributed Systems: Research on security and privacy issues specific to parallel and distributed computing, including secure communication, data protection, and trust management.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  17445760

    Electronic ISSN:  17445779

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  0.7

  • Subject Area and Category:  Computer Science,Computer Networks and Communications,Information Systems,Software

  • Publication Frequency:  

  • H Index:  27

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Computer Networks and Communications

    Q4:  

  • Cite Score:  2.3

  • SNIP:  0.433

  • Journal Rank(SJR):  0.276