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International Journal of Parallel Programming - Springer | 2024 Impact Factor:0.9 | Cite Score:3.5 | Q3

International Journal of Parallel Programming

Impact Factor and Journal Rank of International Journal of Parallel Programming

  • About: International Journal of Parallel Programming (IJPP) is a leading journal dedicated to publishing high-quality research on all aspects of parallel programming, including the theory, design, implementation, and applications of parallel and distributed computing systems. The journal serves as a comprehensive forum for the dissemination of new ideas and significant research in the field.
  • Impact and Significance
    International Journal of Parallel Programming is significant for several reasons:
  • Comprehensive Coverage: The journal covers a broad range of topics in parallel and distributed computing, making it a valuable resource for researchers and practitioners in the field.
    Interdisciplinary Approach: It bridges the gap between theoretical research and practical applications, promoting the integration of new techniques and tools in real-world systems.
    Cutting-Edge Research: The journal publishes innovative research that advances the state-of-the-art in parallel programming and distributed computing.
    Global Reach: As an international journal, IJPP attracts contributions from researchers and practitioners worldwide, fostering a global exchange of ideas and knowledge.
    Rigorous Peer Review: The journal maintains a strict peer-review process, ensuring the publication of high-quality and impactful research.
  • Types of Articles Accepted
    International Journal of Parallel Programming accepts a variety of submission types, including:
  • Research Articles: Detailed reports of original research contributions in the field of parallel and distributed computing.
    Review Articles: Comprehensive surveys of the current state of research on specific topics within the journals scope.
    Short Communications: Brief reports on novel findings or preliminary research in parallel programming and distributed computing.
    Technical Notes: Articles focusing on the development and validation of new techniques, tools, or methodologies for parallel programming.
    Case Studies: In-depth studies demonstrating the application of parallel and distributed computing techniques to solve real-world problems.
    Special Issues: Collections of articles focused on specific themes or emerging areas within the scope of the journal.

  • Editor-in-Chief:  Alexandru Nicolau

  • Scope: International Journal of Parallel Programming (IJPP) is a peer-reviewed journal that publishes high-quality research articles, reviews, and technical notes on all aspects of parallel programming. The journal aims to advance the field by providing a platform for the dissemination of innovative findings and developments. The journal covers a broad range of topics within parallel programming, including but not limited to:
  • Parallel Algorithms: Research on the design, analysis, and implementation of parallel algorithms for various computational problems.
  • Programming Models: Studies on different programming models and paradigms for parallel computing, including message passing, shared memory, and data parallelism.
  • Parallel Architectures: Research on the architectural support for parallel computing, including multicore processors, distributed systems, and heterogeneous architectures.
  • Performance Analysis: Studies on the performance evaluation and optimization of parallel programs, including benchmarking, profiling, and tuning.
  • Distributed Systems: Research on the development and analysis of distributed computing systems and applications.
  • Concurrency and Synchronization: Studies on techniques for managing concurrency and synchronization in parallel programs, including lock-free data structures and transactional memory.
  • Parallel Languages and Compilers: Research on programming languages, compilers, and runtime systems designed to support parallel programming.
  • High-Performance Computing (HPC): Studies on the use of parallel programming techniques in high-performance computing applications.
  • Parallel Software Development: Research on tools, libraries, and frameworks for developing parallel software.
  • Applications: Case studies and applications of parallel programming in various domains, including scientific computing, engineering, data analytics, and artificial intelligence.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  0885-7458

    Electronic ISSN:  1573-7640

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

  • Imapct Factor 2024:  0.9

  • Subject Area and Category:  Computer Sciences, Library and Information Science, Mathematics

  • Publication Frequency:  Bimonthly

  • H Index:  41

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Information Systems

    Q4:  

  • Cite Score:  3.5

  • SNIP:  0.629

  • Journal Rank(SJR):  0.348