Provenance Navigation

Provenance Navigation is a computational method within the domain of collaborative visualization that enables users to trace, explore, and interact with the lineage and transformation history of visual data and analytical decisions, distinguishing itself by supporting contextualized, interactive access to temporal dependencies and collaborative contributions across the visualization process.

6

Publications

221

Citations

23

Authors

11

Institutions

Publications per year

2017–2026

0

Authors

23

  1. SB
    Shawn Bowers

    University of California, Davis, United States

    2 publications · 41 citations

    2

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  2. MK
    Manish Kumar Anand

    University of California, Davis, United States

    2 publications · 41 citations

    2

    h-index

  3. BL
    Bertram Ludäscher

    University of California, Davis, United States

    2 publications · 41 citations

    2

    h-index

  4. AS
    Arie Shoshani

    Lawrence Berkeley National Laboratory, United States

    1 publications · 11 citations

    1

    h-index

  5. DM
    Dominic Metzger

    University of Southampton, United Kingdom

    1 publications · 78 citations

    1

    h-index

1–5 of 23

Venues

  1. Fusion Engineering and Design

    1 publications · 11 citations

    1

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  2. 1

    h-index

  3. Computing in Science & Engineering

    1 publications · 38 citations

    1

    h-index

1–3