Jittering Techniques

Jittering Techniques is a data visualization method that involves the intentional addition of small amounts of random noise to data points in a scatterplot matrix to mitigate overplotting and reveal underlying patterns in discrete or highly collinear data.

44

Publications

1.8K

Citations

183

Authors

101

Institutions

Publications per year

2017–2026

19

Authors

183

  1. BA
    Bruce A. Schneider

    University of Toronto, Canada

    2 publications · 32 citations

    2

    h-index

  2. HH
    Hugues Hoppe

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 313 citations

    2

    h-index

  3. SL
    Sylvain Lefèbvre

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 313 citations

    2

    h-index

  4. LS
    Li Song

    Shanghai Jiao Tong University, China

    1 publications · 15 citations

    1

    h-index

  5. TA
    Thomas Auzinger

    Institute of Science and Technology Austria, Austria

    1 publications · 38 citations

    1

    h-index

1–5 of 183

Venues

  1. Computer Graphics Forum

    3 publications · 79 citations

    3

    h-index

  2. IEEE Transactions on Consumer Electronics

    2 publications · 50 citations

    2

    h-index

  3. ACM Transactions on Graphics

    TOG · 2 publications · 310 citations

    2

    h-index

  4. IEEE Wireless Communications Letters

    2 publications · 185 citations

    2

    h-index

  5. IEEE Access

    1 publications · 15 citations

    1

    h-index

1–5