Image-based Scientific Visualization

Image-Based Scientific Visualization is a scientific visualization approach that uses image-based representations and rendering techniques as its primary means to depict, explore, and analyze complex scientific data, distinguished from geometric or abstract visualization methods by its foundation in pixel- or voxel-oriented visual constructs.

35

Publications

1.8K

Citations

128

Authors

59

Institutions

Publications per year

2017–2026

7

Authors

128

  1. AT
    Alexandru Telea

    University of Groningen, Netherlands

    2 publications · 53 citations

    2

    h-index

  2. DW
    Daniel Weiskopf

    University of Stuttgart, Germany

    2 publications · 66 citations

    2

    h-index

  3. HS
    Heinz‐Peter Schlemmer

    Heidelberg University, Germany

    1 publications · 42 citations

    1

    h-index

  4. JI
    J. Ireland

    Goddard Space Flight Center, United States

    1 publications · 64 citations

    1

    h-index

  5. IM
    I.R. Mendez

    Natural History Museum of Bern, Switzerland

    1 publications · 53 citations

    1

    h-index

1–5 of 128

Venues

  1. Microscopy and Microanalysis

    2 publications · 90 citations

    2

    h-index

  2. Computing in Science & Engineering

    2 publications · 77 citations

    2

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 112 citations

    2

    h-index

  4. 2

    h-index

  5. Nature

    1 publications · 22 citations

    1

    h-index

1–5