Occlusion Reduction Techniques

Occlusion Reduction Techniques is a methodological framework in point pattern visualization that minimizes visual overlap among data points to enhance perceptual clarity and pattern detection in dense spatial datasets.

19

Publications

854

Citations

60

Authors

36

Institutions

Publications per year

2017–2026

4

Authors

60

  1. NE
    Niklas Elmqvist

    University of Maryland, College Park, United States

    3 publications · 261 citations

    3

    h-index

  2. JT
    James Tompkin

    John Brown University, United States

    2 publications · 103 citations

    2

    h-index

  3. PT
    Philippas Tsigas

    Chalmers University of Technology, Sweden

    2 publications · 246 citations

    2

    h-index

  4. MG
    Miguel Granados

    Max Planck Institute for Informatics, Germany

    1 publications · 80 citations

    1

    h-index

  5. JM
    Jorge Mejia

    National Acoustic Laboratories, Australia

    1 publications · 43 citations

    1

    h-index

1–5 of 60

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 301 citations

    2

    h-index

  2. 1

    h-index

  3. The Journal of the Acoustical Society of America

    JASA · 1 publications · 43 citations

    1

    h-index

  4. IEEE Sensors Journal

    1 publications · 20 citations

    1

    h-index

  5. Computer Graphics Forum

    1 publications · 80 citations

    1

    h-index

1–5