Probabilistic Nucleation Models

Probabilistic Nucleation Models is a computational framework in seismology that, within the broader class of earthquake nucleation models, distinguishes itself by incorporating statistical distributions and stochastic processes to quantify uncertainties in the initiation and early evolution of seismic ruptures.

14

Publications

905

Citations

42

Authors

24

Institutions

Publications per year

2017–2026

6

Authors

42

  1. HH
    Helge Hellevang

    University of Oslo, Norway

    2 publications · 96 citations

    2

    h-index

  2. MM
    Mohammad Masoudi

    University of Oslo, Norway

    2 publications · 96 citations

    2

    h-index

  3. MR
    Muhammad R. Usman

    University of the Punjab, Pakistan

    1 publications · 20 citations

    1

    h-index

  4. RM
    Raúl Martı́nez-Cuenca

    Universitat Jaume I, Spain

    1 publications · 12 citations

    1

    h-index

  5. KS
    Krittanon Sirorattanakul

    California Institute of Technology, United States

    1 publications · 28 citations

    1

    h-index

1–5 of 42

Venues

  1. Bulletin of the Seismological Society of America

    BSSA · 2 publications · 61 citations

    2

    h-index

  2. Nature

    1 publications · 206 citations

    1

    h-index

  3. ACS Earth and Space Chemistry

    1 publications · 51 citations

    1

    h-index

  4. Geophysical Research Letters

    1 publications · 28 citations

    1

    h-index

  5. Scientific Reports

    1 publications · 45 citations

    1

    h-index

1–5