Visual Knowledge Discovery

Visual Knowledge Discovery is an academic concept referring to a scholarly contribution that constitutes a method, model, framework, theory, construct, dataset, task, or metric designed to enable the detection, interpretation, and communication of previously unknown patterns, relationships, or insights in complex data through visual representations.

117

Publications

5K

Citations

356

Authors

160

Institutions

Publications per year

2017–2026

34

Authors

356

  1. ‪Y
    ‪Keiji Yanai‬

    University of Electro-Communications, Japan

    3 publications · 84 citations

    3

    h-index

  2. BZ
    Bolei Zhou

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 91 citations

    3

    h-index

  3. AL
    Alexander Lex

    University of Utah, United States

    2 publications · 103 citations

    2

    h-index

  4. JY
    Junsong Yuan

    Nanyang Technological University, Singapore

    2 publications · 43 citations

    2

    h-index

  5. SG
    Samuel Gratzl

    Johannes Kepler University of Linz, Austria

    2 publications · 103 citations

    2

    h-index

1–5 of 356

Venues

  1. Information Visualization

    5 publications · 102 citations

    5

    h-index

  2. Environmental Science and Pollution Research

    ESPR · 3 publications · 74 citations

    3

    h-index

  3. IEEE Transactions on Multimedia

    2 publications · 68 citations

    2

    h-index

  4. Harvard Data Science Review

    2 publications · 33 citations

    2

    h-index

  5. Journal of Visual Languages & Computing

    JVLC · 2 publications · 37 citations

    2

    h-index

1–5