Co-occurrence Visualization

Co-Occurrence Visualization is a text visualization technique that represents the frequency and patterns of simultaneous appearance of textual elements, such as words or phrases, within a document or corpus to reveal associative relationships among them.

58

Publications

4.3K

Citations

157

Authors

90

Institutions

Publications per year

2017–2026

19

Authors

157

  1. MB
    Michael Burch

    University of Stuttgart, Germany

    4 publications · 218 citations

    4

    h-index

  2. SL
    Steffen Lohmann

    University of Stuttgart, Germany

    4 publications · 218 citations

    4

    h-index

  3. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    3 publications · 116 citations

    3

    h-index

  4. CC
    Chaomei Chen

    Drexel University, United States

    3 publications · 917 citations

    3

    h-index

  5. LC
    Leslie Carr

    University of Southampton, United Kingdom

    2 publications · 42 citations

    2

    h-index

1–5 of 157

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 520 citations

    6

    h-index

  2. Journal of Documentation

    3 publications · 80 citations

    3

    h-index

  3. Scientometrics

    3 publications · 314 citations

    3

    h-index

  4. Journal of the American Society for Information Science

    JASIS · 2 publications · 108 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 886 citations

    2

    h-index

1–5