Knowledge Graph Analytics

Knowledge Graph Analytics is a scholarly research contribution that advances the theory, methodology, or application of analytical techniques specifically designed for extracting, modeling, or inferring structured knowledge from graph-based representations of entities and their interrelationships.

137

Publications

6.3K

Citations

535

Authors

242

Institutions

Publications per year

2017–2026

102

Authors

535

  1. SA
    Sören Auer

    University of Bonn, Germany

    4 publications · 273 citations

    4

    h-index

  2. AS
    Amit Sheth

    Wright State University, United States

    4 publications · 271 citations

    4

    h-index

  3. MS
    Markus Stocker

    Technische Informationsbibliothek (TIB), Germany

    3 publications · 260 citations

    3

    h-index

  4. MY
    Mohamad Yaser Jaradeh

    Leibniz University Hannover, Germany

    3 publications · 260 citations

    3

    h-index

  5. JL
    Jens Lehmann

    University of Bonn, Germany

    3 publications · 89 citations

    3

    h-index

1–5 of 535

Venues

  1. IEEE Access

    3 publications · 71 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 59 citations

    3

    h-index

  3. Technological Forecasting and Social Change

    2 publications · 112 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 512 citations

    2

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 38 citations

    2

    h-index

1–5