Word Cloud Visualization

Word Cloud Visualization is a text visualization technique that visually represents the frequency of words in a textual corpus by scaling the size of each word according to its occurrence count, typically displayed in a two-dimensional layout with varying font sizes, colors, and orientations to emphasize salient terms.

70

Publications

4.1K

Citations

229

Authors

107

Institutions

Publications per year

2017–2026

45

Variants

Tag CloudWord Cloud

Authors

229

  1. SL
    Steffen Lohmann

    University of Stuttgart, Germany

    5 publications · 735 citations

    5

    h-index

  2. HQ
    Huamin Qu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 376 citations

    4

    h-index

  3. YW
    Yingcai Wu

    Zhejiang University, China

    4 publications · 463 citations

    4

    h-index

  4. TE
    Thomas Ertl

    University of Stuttgart, Germany

    3 publications · 658 citations

    3

    h-index

  5. FH
    Florian Heimerl

    University of Stuttgart, Germany

    3 publications · 658 citations

    3

    h-index

1–5 of 229

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 332 citations

    6

    h-index

  2. Computer Graphics Forum

    3 publications · 213 citations

    3

    h-index

  3. Journal of Physics Conference Series

    2 publications · 42 citations

    2

    h-index

  4. Sustainability

    2 publications · 107 citations

    2

    h-index

  5. Symmetry

    1 publications · 68 citations

    1

    h-index

1–5