Multi-model Databases

Multi-Model Databases is a database system that supports multiple data models—such as document, graph, key-value, and columnar—within a single, integrated backend, thereby enabling heterogeneous data management and query processing across diverse application requirements.

20

Publications

522

Citations

44

Authors

29

Institutions

Publications per year

2017–2026

14

Authors

44

  1. IH
    Irena Holubová

    Charles University, Czechia

    6 publications · 102 citations

    6

    h-index

  2. JL
    Jiaheng Lu

    Renmin University of China, China

    5 publications · 111 citations

    5

    h-index

  3. PK
    Pavel Koupil

    Charles University, Czechia

    3 publications · 45 citations

    3

    h-index

  4. SB
    Sandro Bimonte

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

    2 publications · 41 citations

    2

    h-index

  5. SR
    Stefano Rizzi

    University of Bologna, Italy

    2 publications · 41 citations

    2

    h-index

1–5 of 44

Venues

  1. Työväentutkimus Vuosikirja

    2 publications · 38 citations

    2

    h-index

  2. Journal Of Big Data

    2 publications · 34 citations

    2

    h-index

  3. Distributed and Parallel Databases

    2 publications · 54 citations

    2

    h-index

  4. Earth System Dynamics

    1 publications · 45 citations

    1

    h-index

  5. Information Systems

    1 publications · 25 citations

    1

    h-index

1–5