Multiscale Exploration

Multiscale Exploration is a computational framework that enables the systematic navigation and analysis of data across varying levels of granularity or resolution, distinguishing itself by integrating hierarchical representations to support interactive discovery of patterns and structures at multiple scales.

31

Publications

1.5K

Citations

131

Authors

68

Institutions

Publications per year

2017–2026

15

Authors

131

  1. AE
    Alex Endert

    Georgia Institute of Technology, United States

    1 publications · 14 citations

    1

    h-index

  2. JR
    Julia R. Downing

    Northwestern University, United States

    1 publications · 101 citations

    1

    h-index

  3. JP
    Juraj Pálenik

    National Agency for New Technologies, Energy and Sustainable Economic Development, Italy

    1 publications · 11 citations

    1

    h-index

  4. PK
    Peter Kerpedjiev

    Harvard University, United States

    1 publications · 29 citations

    1

    h-index

  5. MM
    Miriah Meyer

    University of Utah, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 131

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 5 publications · 159 citations

    5

    h-index

  2. Computer Graphics Forum

    2 publications · 49 citations

    2

    h-index

  3. Antipode

    1 publications · 75 citations

    1

    h-index

  4. Frontiers in Neuroinformatics

    1 publications · 29 citations

    1

    h-index

  5. Chemical Science

    1 publications · 29 citations

    1

    h-index

1–5