Data Narratives

Data Narratives is a scholarly construct that refers to the systematic organization and presentation of data-derived insights within a coherent story structure, distinguishing it from other data communication methods by its deliberate integration of narrative elements—such as plot, character, and context—to enhance understanding, engagement, and persuasive impact in data storytelling.

137

Publications

7.8K

Citations

338

Authors

195

Institutions

Publications per year

2017–2026

93

Authors

338

  1. YS
    Yang Shi

    Tongji University, China

    4 publications · 197 citations

    4

    h-index

  2. VE
    Vanessa Echeverría

    Monash University, Australia

    4 publications · 152 citations

    4

    h-index

  3. RM
    Roberto Martínez‐Maldonado

    Monash University, Australia

    4 publications · 152 citations

    4

    h-index

  4. NC
    Nan Cao

    Tongji University, China

    4 publications · 197 citations

    4

    h-index

  5. NH
    Nathalie Henry Riche

    Microsoft (United States), United States

    4 publications · 637 citations

    4

    h-index

1–5 of 338

Venues

  1. Big Data & Society

    10 publications · 1K citations

    10

    h-index

  2. Culture Studies &#x2194 Critical Methodologies

    5 publications · 661 citations

    5

    h-index

  3. IEEE Computer Graphics and Applications

    4 publications · 460 citations

    4

    h-index

  4. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 4 publications · 160 citations

    4

    h-index

  5. CHI Conference on Human Factors in Computing Systems

    Conference · 3 publications · 124 citations

    3

    h-index

1–5