Visual Data Sharing

Visual Data Sharing is a collaborative visual analytics method that enables the structured exchange and co-visualization of visual and analytical artifacts among multiple users to support joint sensemaking, distinguished from other collaboration methods by its focus on the bidirectional, synchronized sharing of visual data representations within shared or distributed environments.

55

Publications

1.8K

Citations

224

Authors

99

Institutions

Publications per year

2017–2026

18

Authors

224

  1. AS
    Abigale Stangl

    University of Colorado Boulder, United States

    2 publications · 53 citations

    2

    h-index

  2. BX
    Bo Xie

    The University of Texas at Austin, United States

    2 publications · 53 citations

    2

    h-index

  3. KR
    Kenneth R. Fleischmann

    University of Maryland, College Park, United States

    2 publications · 53 citations

    2

    h-index

  4. DG
    Danna Gurari

    The University of Texas at Austin, United States

    2 publications · 53 citations

    2

    h-index

  5. KS
    Kristina Shiroma

    The University of Texas at Austin, United States

    2 publications · 53 citations

    2

    h-index

1–5 of 224

Venues

  1. Frontiers in Neuroinformatics

    2 publications · 61 citations

    2

    h-index

  2. International Semantic Web Conference

    Conference · 1 publications · 31 citations

    1

    h-index

  3. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 1 publications · 66 citations

    1

    h-index

  4. Information Visualization

    1 publications · 18 citations

    1

    h-index

  5. ETRI Journal

    1 publications · 14 citations

    1

    h-index

1–5