Spatiotemporal Random Fields

Spatiotemporal Random Fields is a random field modeling framework that characterizes spatially distributed phenomena varying over time by integrating spatial and temporal correlations within a unified probabilistic structure.

157

Publications

7.7K

Citations

348

Authors

203

Institutions

Publications per year

2017–2026

23

Authors

348

  1. GC
    George Christakos

    San Diego State University, United States

    5 publications · 162 citations

    5

    h-index

  2. NL
    Nikolai Leonenko

    Cardiff University, United Kingdom

    4 publications · 110 citations

    4

    h-index

  3. RG
    Rishi Graham

    University of California San Diego, United States

    3 publications · 58 citations

    3

    h-index

  4. MD
    Mirko D’Ovidio

    Sapienza University of Rome, Italy

    3 publications · 46 citations

    3

    h-index

  5. YM
    Yue M. Lu

    Harvard University, United States

    3 publications · 83 citations

    3

    h-index

1–5 of 348

Venues

  1. Physical Review Letters

    PRL · 6 publications · 351 citations

    7

    h-index

  2. 7

    h-index

  3. Water Resources Research

    4 publications · 394 citations

    4

    h-index

  4. 4

    h-index

  5. Advances in Applied Probability

    AAP · 4 publications · 166 citations

    4

    h-index

1–5