Change Detection Visualization

Change Detection Visualization is a temporal data visualization method that specifically enables the identification and interpretation of differences or transitions in data states over time by encoding temporal changes through visual cues such as color, position, or animation.

7

Publications

210

Citations

24

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

24

  1. AS
    Alpa Sachde

    The University of Texas at Arlington, United States

    2 publications · 35 citations

    2

    h-index

  2. SC
    Sharma Chakravarthy

    The University of Texas at Arlington, United States

    2 publications · 35 citations

    2

    h-index

  3. JJ
    Jyoti Jacob

    The University of Texas at Arlington, United States

    1 publications · 21 citations

    1

    h-index

  4. JJ
    J JACOB

    The University of Texas at Arlington, United States

    1 publications · 14 citations

    1

    h-index

  5. JA
    Jim Agutter

    University of Utah, United States

    1 publications · 102 citations

    1

    h-index

1–5 of 24

Venues

  1. Data & Knowledge Engineering

    DKE · 2 publications · 35 citations

    2

    h-index

  2. Data Mining and Knowledge Discovery

    1 publications · 28 citations

    1

    h-index

  3. International Journal of Medical Informatics

    1 publications · 102 citations

    1

    h-index

1–3