Feature-based Visualization

Feature-Based Visualization is a visualization approach that selectively emphasizes salient structures or patterns in scientific data by extracting and representing domain-relevant features, distinguishing itself from holistic visualization techniques through its focus on abstracted, semantically meaningful elements derived from the data.

64

Publications

2.9K

Citations

232

Authors

86

Institutions

Publications per year

2017–2026

28

Authors

232

  1. FH
    Frits H. Post

    Delft University of Technology, Netherlands

    3 publications · 187 citations

    3

    h-index

  2. RP
    Ronald Peikert

    ETH Zurich, Switzerland

    2 publications · 66 citations

    2

    h-index

  3. FP
    F.J. Post

    Delft University of Technology, Netherlands

    2 publications · 149 citations

    2

    h-index

  4. JC
    Jeff Clune

    University of Wyoming, United States

    2 publications · 285 citations

    2

    h-index

  5. EE
    Eric E. Allen

    Scripps Institution of Oceanography, United States

    2 publications · 205 citations

    2

    h-index

1–5 of 232

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 12 publications · 684 citations

    12

    h-index

  2. Computer Graphics Forum

    3 publications · 87 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 309 citations

    3

    h-index

  4. NAR Genomics and Bioinformatics

    1 publications · 181 citations

    1

    h-index

  5. Journal of Computer-Aided Molecular Design

    1 publications · 22 citations

    1

    h-index

1–5