Illustrative Visualization

Illustrative Visualization is a type of scientific visualization that employs non-photorealistic rendering techniques to enhance visual clarity and communication of structural and relational information in complex datasets, distinguishing itself from traditional photorealistic visualization by prioritizing illustrative principles such as abstraction, emphasis, and salience to support domain-specific understanding.

58

Publications

2.1K

Citations

187

Authors

78

Institutions

Publications per year

2017–2026

12

Authors

187

  1. IV
    Ivan Viola

    TU Wien, Austria

    10 publications · 365 citations

    10

    h-index

  2. TI
    Tobias Isenberg

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

    6 publications · 314 citations

    6

    h-index

  3. CH
    Christian Hansen

    University Hospital Magdeburg, Germany

    4 publications · 196 citations

    4

    h-index

  4. KL
    Kai Lawonn

    University Hospital Magdeburg, Germany

    4 publications · 113 citations

    4

    h-index

  5. DP
    Daniel Patel

    Chr. Michelsen Institute, Norway

    3 publications · 87 citations

    3

    h-index

1–5 of 187

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 12 publications · 817 citations

    12

    h-index

  2. Computer Graphics Forum

    13 publications · 350 citations

    12

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. BMC Structural Biology

    1 publications · 29 citations

    1

    h-index

1–5