Explanatory Visualization

Explanatory Visualization is a type of narrative visualization that belongs to the broader category of data and information visualization, distinguished by its primary aim to convey insights, evidence, or causal relationships in a structured and coherent manner through visual means to support understanding or decision-making.

11

Publications

452

Citations

25

Authors

9

Institutions

Publications per year

2017–2026

5

Authors

25

  1. PB
    Peter Brusilovsky

    University of Pittsburgh, United States

    4 publications · 81 citations

    4

    h-index

  2. MB
    Michael B. Spring

    University of Pittsburgh, United States

    2 publications · 27 citations

    2

    h-index

  3. TD
    Tomasz D. Loboda

    University of Pittsburgh, United States

    2 publications · 54 citations

    2

    h-index

  4. FM
    Francis M. Dwyer

    Pennsylvania State University, United States

    1 publications · 60 citations

    1

    h-index

  5. KO
    Katsuhiko Ogasawara

    Hokkaido University, Japan

    1 publications · 103 citations

    1

    h-index

1–5 of 25

Venues

  1. ACM SIGCSE Bulletin

    2 publications · 38 citations

    2

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 39 citations

    1

    h-index

  3. IEEE Computer Graphics and Applications

    1 publications · 58 citations

    1

    h-index

  4. Computer Graphics Forum

    1 publications · 66 citations

    1

    h-index

  5. Information

    1 publications · 33 citations

    1

    h-index

1–5