3D Data Exploration

3D Data Exploration is a methodological framework within three-dimensional visualization that enables interactive navigation, analysis, and interpretation of complex volumetric or spatial datasets through visual representations that preserve and reveal their inherent three-dimensional structures and relationships.

97

Publications

4.7K

Citations

334

Authors

161

Institutions

Publications per year

2017–2026

19

Authors

334

  1. FV
    Fernando V. Paulovich

    Universidade de São Paulo, Brazil

    5 publications · 226 citations

    5

    h-index

  2. TI
    Tobias Isenberg

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

    5 publications · 258 citations

    5

    h-index

  3. AM
    Andrian Marcus

    Wayne State University, United States

    4 publications · 94 citations

    4

    h-index

  4. RM
    Rosane Minghim

    Universidade de São Paulo, Brazil

    4 publications · 177 citations

    4

    h-index

  5. AT
    Alexandru Telea

    University of Groningen, Netherlands

    3 publications · 91 citations

    3

    h-index

1–5 of 334

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 10 publications · 1K citations

    10

    h-index

  2. Computer Graphics Forum

    7 publications · 177 citations

    7

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 55 citations

    3

    h-index

  4. IEEE Computer Graphics and Applications

    2 publications · 53 citations

    2

    h-index

  5. ACM Transactions on Graphics

    TOG · 2 publications · 64 citations

    2

    h-index

1–5