Probability Density Maps

Probability Density Maps is a spatial uncertainty visualization method that represents the likelihood of occurrence or presence of a phenomenon across geographic space by encoding probability density values within a continuous surface map.

250

Publications

18.9K

Citations

999

Authors

438

Institutions

Publications per year

2017–2026

79

Variants

Probability Density Map

Authors

999

  1. KA
    Katrin Amunts

    Heinrich Heine University Düsseldorf, Germany

    5 publications · 1.5K citations

    5

    h-index

  2. AH
    Anders Heijl

    Lund University, Sweden

    5 publications · 673 citations

    5

    h-index

  3. HM
    Hartmut Mohlberg

    Heinrich Heine University Düsseldorf, Germany

    4 publications · 1.5K citations

    4

    h-index

  4. SK
    Shaju K. Albert

    Indira Gandhi Centre for Atomic Research, India

    3 publications · 68 citations

    3

    h-index

  5. JJ
    Jhih-Wei Jian

    Genomics Research Center, Academia Sinica, Taiwan

    3 publications · 86 citations

    3

    h-index

1–5 of 999

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 857 citations

    9

    h-index

  2. NeuroImage

    6 publications · 763 citations

    6

    h-index

  3. PLoS ONE

    5 publications · 296 citations

    5

    h-index

  4. Nature Communications

    3 publications · 126 citations

    3

    h-index

  5. Brain

    2 publications · 158 citations

    2

    h-index

1–5