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《VLDB JOURNAL》杂志封面
  • 所属分类:首页 > SCI期刊 > 工程技术
  • 期刊名: VLDB JOURNAL
  • 期刊名缩写:VLDB J
  • 期刊ISSN:1066-8888
  • E-ISSN:0949-877X
  • 2025年影响因子/JCR分区:3.8/Q2 查看近年IF趋势图
  • 5年平均影响因子:4.3
  • 学科分类与版本:COMPUTER SCIENCE, HARDWARE & ARCHITECTURE - SCIE; COMPUTER SCIENCE, INFORMATION SYSTEMS - SCIE
  • 出版周期:Quarterly
  • 出版年份:1992
  • 出版国家或地区:GERMANY
  • 出版商:SPRINGER
  • 年文章数:查看近年文章发表趋势图
  • 论著文章占比:100.00% [论著 ÷(论著 + 综述)]
  • 是否OA开放访问:No
  • Gold OA文章占比:18.54%
  • 官方网站:www.springer.com/778
  • 投稿网址:www.editorialmanager.com/vldb/
  • 编辑部地址:SPRINGER, 233 SPRING ST, NEW YORK, USA, NY, 10013

《VLDB JOURNAL》中科院JCR分区

  • 2025年3月升级版:
  • 大类小类学科Top综述期刊
    计算机科学 2区
    COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
    计算机:硬件
    2区
    COMPUTER SCIENCE, INFORMATION SYSTEMS
    计算机:信息系统
    3区

  • 2023年12月升级版:
  • 大类小类学科Top综述期刊
    计算机科学 2区
    COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
    计算机:硬件
    2区
    COMPUTER SCIENCE, INFORMATION SYSTEMS
    计算机:信息系统
    3区

    《VLDB JOURNAL》期刊简介:

    The journal is dedicated to the publication of scholarly contributions in areas of data management such as database system technology and information systems, including their architectures and applications. Further, the journal’s scope is restricted to areas of data management that are covered by the combined expertise of the journal’s editorial board.

    Submissions with a substantial theory component are welcome, but the VLDB Journal expects such submissions also to embody a systems component.

    In relation to data mining, the journal will handle submissions where systems issues play a significant role. Factors that we use to determine whether a data mining paper is within scope include:

    The submission targets systems issues in relation to data mining, e.g., by covering integration with a database engine or with other data management functionality.
    The submission’s contributions build on (rather than simply cite) work already published in database outlets, e.g., VLDBJ, ACM TODS, PVLDB, ACM SIGMOD, IEEE ICDE, EDBT.
    The journal's editorial board has the necessary expertise on the submission's topic.
    Traditional, stand-alone data mining papers that lack the above or similar characteristics are out of scope for this journal. Criteria similar to the above are applied to submission from other areas, e.g., information retrieval and geographical information systems.

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