Information Graphs

Information Graphs is a structural visualization framework that integrates nodes and edges to represent entities and their interrelations, distinguished by its emphasis on encoding hierarchical, semantic, or contextual data to facilitate interpretability and analytical reasoning in complex information spaces.

58

Publications

14.1K

Citations

125

Authors

61

Institutions

Publications per year

2017–2026

14

Authors

125

  1. NK
    Negar Kiyavash

    University of Illinois Urbana-Champaign, United States

    4 publications · 96 citations

    4

    h-index

  2. MW
    Mark W. Spong

    University of Illinois Urbana-Champaign, United States

    2 publications · 312 citations

    2

    h-index

  3. VW
    Viacheslav Wolfengagen

    National Research Nuclear University MEPhI, Russia

    2 publications · 21 citations

    2

    h-index

  4. DM
    Davide Mottin

    Aarhus University, Denmark

    2 publications · 34 citations

    2

    h-index

  5. YK
    Yoonsoo Kim

    Gyeongsang National University, South Korea

    2 publications · 660 citations

    2

    h-index

1–5 of 125

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 4.7K citations

    4

    h-index

  2. IEEE Transactions on Automatic Control

    3 publications · 914 citations

    3

    h-index

  3. Procedia Computer Science

    2 publications · 21 citations

    2

    h-index

  4. IEEE Transactions on Signal Processing

    1 publications · 34 citations

    1

    h-index

  5. Data Technologies and Applications

    DTA · 1 publications · 10 citations

    1

    h-index

1–5