3D Scientific Visualization

3D Scientific Visualization is a scientific visualization technique that uniquely enables the representation and interactive exploration of complex scientific data in three-dimensional space, distinguishing itself from 2D or non-spatial methods by leveraging depth, perspective, and spatial perception to reveal intricate structural and functional relationships within data.

239

Publications

37.1K

Citations

707

Authors

288

Institutions

Publications per year

2017–2026

26

Authors

707

  1. DH
    David H. Laidlaw

    Brown University, United States

    5 publications · 266 citations

    5

    h-index

  2. TI
    Tobias Isenberg

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

    4 publications · 155 citations

    4

    h-index

  3. RC
    Robert C. Zeleznik

    Brown University, United States

    4 publications · 716 citations

    4

    h-index

  4. MG
    Martin Göbel

    Fraunhofer Institute for Computer Graphics Research, Germany

    4 publications · 93 citations

    4

    h-index

  5. AJ
    Andrew J. Hanson

    Indiana University Bloomington, United States

    4 publications · 468 citations

    4

    h-index

1–5 of 707

Venues

  1. IEEE Computer Graphics and Applications

    17 publications · 1.1K citations

    15

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 16 publications · 697 citations

    14

    h-index

  3. Computer Graphics Forum

    8 publications · 392 citations

    8

    h-index

  4. 7

    h-index

  5. Journal of Structural Biology

    3 publications · 278 citations

    3

    h-index

1–5