Temporal Association Visualization

Temporal Association Visualization is a visualization method that specifically represents the evolving relationships and correlated changes among multiple variables over time, distinguishing itself from other temporal multivariate visualization techniques by emphasizing the temporal dynamics of associations rather than individual variable trajectories or static inter-variable structures.

7

Publications

225

Citations

24

Authors

7

Institutions

Publications per year

2017–2026

1

Authors

24

  1. MM
    Michael Meyners

    Procter & Gamble (Germany), Germany

    1 publications · 11 citations

    1

    h-index

  2. WR
    William Ribarsky

    University of North Carolina at Charlotte, United States

    1 publications · 28 citations

    1

    h-index

  3. AB
    Andrew Bate

    Uppsala Monitoring Centre, Sweden

    1 publications · 47 citations

    1

    h-index

  4. JH
    Johan Hopstadius

    Uppsala Monitoring Centre, Sweden

    1 publications · 47 citations

    1

    h-index

  5. ND
    Nevena Dimitrova

    Georgia State University, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 24

Venues

  1. Information Visualization

    2 publications · 88 citations

    2

    h-index

  2. Methods of Information in Medicine

    1 publications · 31 citations

    1

    h-index

  3. Computer Graphics Forum

    1 publications · 20 citations

    1

    h-index

  4. Food Quality and Preference

    1 publications · 11 citations

    1

    h-index

1–4