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Proceedings of the VLDB Endowment - ACM | 2023 Impact Factor: 2.5 | Cite Score:7.0 | Q1

Proceedings of the VLDB Endowment Journal With Cite Score

Cite Score and Journal Rank of Proceedings of the VLDB Endowment

  • About: The Proceedings of the VLDB Endowment (PVLDB) is a prestigious, peer-reviewed journal dedicated to the dissemination of research contributions in the field of databases and information systems. Published by the VLDB Endowment, the journal serves as a premier platform for researchers, practitioners, and educators to publish and access high-quality articles covering all aspects of data management.
  • Objective
    The primary objective of PVLDB is to publish significant research results in data management that impact theory and practice. The journal publishes original contributions in areas such as database systems, data mining, information retrieval, big data analytics, machine learning for data management, distributed and parallel databases, and data privacy and security.
  • Impact
    PVLDB aims to:
    Publish cutting-edge research that advances the state-of-the-art in data management.
    Serve as a forum for exchanging ideas among researchers, practitioners, and industry experts.
    Facilitate collaboration and interdisciplinary research across the global data management community.
    Influence the development of new technologies, standards, and best practices in data management.
  • Significance
    Data management is fundamental to modern applications across various domains including finance, healthcare, e-commerce, and more. PVLDB plays a crucial role in advancing this field by providing a rigorous peer-reviewed platform for impactful research publications, thus shaping the future of data management and its applications.

  • Editor-in-Chief:  Georgia Koutrika

  • Scope: The Proceedings of the VLDB Endowment is a prestigious journal dedicated to publishing research papers from the Very Large Data Bases (VLDB) community.
  • Foundational Concepts: Theoretical foundations and fundamental principles in databases and data management.
  • Advances in database systems, query processing, and data modeling.

    Advanced Topics: Big data analytics, data mining, and machine learning techniques applied to large-scale databases.
  • Distributed and parallel database systems, cloud computing, and scalable data processing.
  • Applications and Case Studies: Practical applications of database technologies in diverse domains such as finance, healthcare, social networks, and e-commerce.
  • Case studies highlighting innovative uses of database systems and their impact on real-world scenarios.
  • Interdisciplinary Perspectives: Integration of database research with related fields such as information retrieval, artificial intelligence, and data science.
  • Cross-disciplinary approaches to addressing challenges in managing and analyzing large volumes of data.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  2150-8097

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2023:  2.5

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

  • Publication Frequency:  

  • H Index:  153

  • Best Quartile:

    Q1:  Computer Science (miscellaneous)

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  • Cite Score:  7.7

  • SNIP:  1.898

  • Journal Rank(SJR):  2.666