Hierarchical Data Management

Hierarchical Data Management is a data management framework that organizes master data elements into structured, parent-child relationships to enable consistent, traceable, and context-aware management of data hierarchies within an enterprise system.

131

Publications

5.9K

Citations

428

Authors

167

Institutions

Publications per year

2017–2026

23

Authors

428

  1. PB
    Peter Buneman

    University of Pennsylvania, United States

    3 publications · 238 citations

    3

    h-index

  2. WT
    Wang-Chiew Tan

    University of California, Santa Cruz, United States

    2 publications · 219 citations

    2

    h-index

  3. KS
    Kurt Stockinger

    European Organization for Nuclear Research, Switzerland

    2 publications · 53 citations

    2

    h-index

  4. BT
    Bhavani Thuraisingham

    The University of Texas at Dallas, United States

    2 publications · 32 citations

    2

    h-index

  5. MM
    Miriam Mehl

    University of Stuttgart, Germany

    2 publications · 119 citations

    2

    h-index

1–5 of 428

Venues

  1. 2

    h-index

  2. ACM Transactions on Database Systems

    TODS · 2 publications · 156 citations

    2

    h-index

  3. Journal of Network and Computer Applications

    JNCA · 2 publications · 37 citations

    2

    h-index

  4. The VLDB Journal

    2 publications · 368 citations

    2

    h-index

  5. Journal of Physics Conference Series

    2 publications · 20 citations

    2

    h-index

1–5