Global Context Visualization

Global Context Visualization is a scholarly methodological contribution that enables the comprehensive representation of contextual relationships across an entire dataset or domain, distinguished by its capacity to reveal overarching patterns and interconnections beyond localized or isolated instances.

11

Publications

553

Citations

23

Authors

13

Institutions

Publications per year

2017–2026

0

Authors

23

  1. CG
    Carl Gutwin

    University of Saskatchewan, Canada

    4 publications · 213 citations

    4

    h-index

  2. AS
    Amy Skopik

    University of Saskatchewan, Canada

    3 publications · 118 citations

    3

    h-index

  3. MG
    Martin Glinz

    University of Zurich, Switzerland

    2 publications · 34 citations

    2

    h-index

  4. EG
    Emanuel G. Noik

    University of Toronto, Canada

    1 publications · 38 citations

    1

    h-index

  5. TK
    T.A. Keahey

    Los Alamos National Laboratory, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 23

Venues

  1. Canada Human-Computer Communications Society

    Repository · 1 publications · 15 citations

    1

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 228 citations

    1

    h-index

  3. 1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

1–4