Multidimensional Data Modeling

Multidimensional Data Modeling is a data modeling approach that organizes data into a multidimensional structure, enabling analysis across multiple dimensions or attributes to support complex querying and reporting in decision-support systems.

589

Publications

33.1K

Citations

1.9K

Authors

708

Institutions

Publications per year

2017–2026

156

Variants

Multidimensional Data ModellingMultidimensional Modelling

Authors

1.9K

  1. JT
    Juan Trujillo

    University of Alicante, Spain

    12 publications · 944 citations

    12

    h-index

  2. TB
    Torben Bach Pedersen

    Aalborg University, Denmark

    10 publications · 981 citations

    10

    h-index

  3. SB
    Sandro Bimonte

    Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, France

    7 publications · 174 citations

    7

    h-index

  4. CS
    Christian S. Jensen

    Aalborg University, Denmark

    6 publications · 900 citations

    6

    h-index

  5. JM
    José-Norberto Mazón

    University of Alicante, Spain

    6 publications · 293 citations

    6

    h-index

1–5 of 1.9K

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 616 citations

    8

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 450 citations

    7

    h-index

  3. IEEE Transactions on Signal Processing

    7 publications · 169 citations

    7

    h-index

  4. Applied Psychological Measurement

    6 publications · 531 citations

    6

    h-index

  5. 6

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1–5