Curvature Statistics

Curvature Statistics is a quantitative analytical framework used in differential geometry and geometric data analysis that characterizes the distribution, variability, and higher-order properties of curvature measures across manifolds or surfaces, distinguishing it from pointwise or local curvature descriptions by providing aggregated, statistical summaries of curvature behavior over domains or populations.

139

Publications

8.9K

Citations

265

Authors

162

Institutions

Publications per year

2017–2026

16

Authors

265

  1. YV
    Yan V. Fyodorov

    Petersburg Nuclear Physics Institute, Russia

    3 publications · 76 citations

    3

    h-index

  2. PD
    Philippe Duringer

    Centre National de la Recherche Scientifique, France

    2 publications · 107 citations

    2

    h-index

  3. WL
    Wuchen Li

    University of California, Los Angeles, United States

    2 publications · 32 citations

    2

    h-index

  4. HL
    Huiling Le

    University of Nottingham, United Kingdom

    2 publications · 160 citations

    2

    h-index

  5. GH
    Gerhard Huisken

    Max Planck Society, Germany

    2 publications · 867 citations

    2

    h-index

1–5 of 265

Venues

  1. Advances in Applied Probability

    AAP · 6 publications · 353 citations

    6

    h-index

  2. Biometrika

    3 publications · 134 citations

    3

    h-index

  3. Journal of Physics A Mathematical and General

    3 publications · 382 citations

    3

    h-index

  4. Physical Review Letters

    PRL · 3 publications · 269 citations

    3

    h-index

  5. 3

    h-index

1–5