Heat Map Representation

Heat Map Representation is a spatial data visualization method that encodes the magnitude of point-based or areal phenomena across a two-dimensional geographic space using variations in color intensity to represent density or concentration gradients.

130

Publications

11.3K

Citations

495

Authors

235

Institutions

Publications per year

2017–2026

72

Authors

495

  1. AD
    Amy D. Holdorf

    University of Massachusetts Chan Medical School, United States

    2 publications · 301 citations

    2

    h-index

  2. CF
    Chuangang Fan

    Central South University, China

    2 publications · 49 citations

    2

    h-index

  3. MR
    Michael Raschke

    University of Stuttgart, Germany

    2 publications · 42 citations

    2

    h-index

  4. JN
    John N. Weinstein

    National Cancer Institute, United States

    2 publications · 140 citations

    2

    h-index

  5. CL
    Chenhui Li

    East China Normal University, China

    2 publications · 33 citations

    2

    h-index

1–5 of 495

Venues

  1. Bioinformatics

    4 publications · 850 citations

    4

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 97 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 62 citations

    3

    h-index

  4. F1000Research

    3 publications · 213 citations

    3

    h-index

  5. Pattern Recognition Letters

    2 publications · 66 citations

    2

    h-index

1–5