Shape Metrics

Shape Metrics is a category of landscape metrics that quantifies the geometric complexity and configuration of landscape patches, classes, or entire mosaics—typically through perimeter–area relationships, compactness, and related indices—in order to characterize shape independently of size and composition.

887

Publications

62.9K

Citations

1.8K

Authors

791

Institutions

Publications per year

2017–2026

162

Authors

1.8K

  1. AS
    Anuj Srivastava

    Florida State University, United States

    15 publications · 1K citations

    14

    h-index

  2. PL
    Paul L. Rosin

    Cardiff University, United Kingdom

    11 publications · 833 citations

    11

    h-index

  3. FL
    Fred L. Bookstein

    University of Michigan, United States

    10 publications · 982 citations

    10

    h-index

  4. RK
    Ron Kimmel

    Technion – Israel Institute of Technology, Israel

    9 publications · 592 citations

    9

    h-index

  5. HL
    Huiling Le

    University of Nottingham, United Kingdom

    9 publications · 514 citations

    9

    h-index

1–5 of 1.8K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 27 publications · 2.9K citations

    23

    h-index

  2. ACM Transactions on Graphics

    TOG · 14 publications · 1K citations

    14

    h-index

  3. arXiv (Cornell University)

    Repository · 20 publications · 465 citations

    14

    h-index

  4. Advances in Applied Probability

    AAP · 15 publications · 658 citations

    13

    h-index

  5. Pattern Recognition Letters

    13 publications · 393 citations

    12

    h-index

1–5