Data-driven Presentations

Data-Driven Presentations is a methodological framework within data storytelling that systematically structures narrative content around empirical data insights to guide audience understanding through evidence-based visual and rhetorical design.

18

Publications

1.1K

Citations

68

Authors

40

Institutions

Publications per year

2017–2026

10

Authors

68

  1. NH
    Nathalie Henry Riche

    Microsoft (United States), United States

    3 publications · 314 citations

    3

    h-index

  2. BB
    Benjamin Bach

    University of Edinburgh, United Kingdom

    3 publications · 249 citations

    3

    h-index

  3. HP
    Hanspeter Pfister

    Harvard University Press, United States

    2 publications · 188 citations

    2

    h-index

  4. NE
    Niklas Elmqvist

    University of Maryland, College Park, United States

    2 publications · 57 citations

    2

    h-index

  5. YW
    Yingcai Wu

    Zhejiang University, China

    1 publications · 61 citations

    1

    h-index

1–5 of 68

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 264 citations

    4

    h-index

  2. Qualitative Inquiry

    QI · 3 publications · 193 citations

    3

    h-index

  3. IEEE Computer Graphics and Applications

    2 publications · 140 citations

    2

    h-index

  4. Management and Organization Review

    MOR · 1 publications · 24 citations

    1

    h-index

  5. Qualitative Research

    QR · 1 publications · 61 citations

    1

    h-index

1–5