Graph Annotation

Graph Annotation is a scholarly technique within graph visualization that involves the systematic addition of descriptive, semantic, or metadata labels to nodes, edges, or regions of a graph to enhance interpretability, distinguishable from related methods by its focus on augmenting visual representations with informative textual or symbolic annotations.

96

Publications

6.5K

Citations

288

Authors

140

Institutions

Publications per year

2017–2026

30

Authors

288

  1. WS
    William S. Cleveland

    Purdue University West Lafayette, United States

    2 publications · 216 citations

    2

    h-index

  2. AB
    Andy Brown

    University of Manchester, United Kingdom

    2 publications · 51 citations

    2

    h-index

  3. RI
    Ruth Isserlin

    University of Toronto, Canada

    2 publications · 585 citations

    2

    h-index

  4. SB
    Steven Bird

    The University of Melbourne, Australia

    2 publications · 68 citations

    2

    h-index

  5. SP
    Steve Pettifer

    University of Manchester, United Kingdom

    2 publications · 51 citations

    2

    h-index

1–5 of 288

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 71 citations

    3

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 273 citations

    2

    h-index

  3. The American Statistician

    2 publications · 216 citations

    2

    h-index

  4. Proceedings of the American Mathematical Society

    PROC · 2 publications · 47 citations

    2

    h-index

  5. Journal of Science Education and Technology

    2 publications · 83 citations

    2

    h-index

1–5