Random Field Surrogates
Random Field Surrogates is a computational method in random field modeling that generates synthetic realizations preserving the statistical properties of an observed field while randomizing specific structural features to serve as null models for hypothesis testing.
21
Publications
632
Citations
77
Authors
55
Institutions
Publications per year
2017–2026
14
Parents
21
1–5 of 21
77
2
h-index
Office National d'Études et de Recherches Aérospatiales, France
1 publications · 13 citations
1
h-index
1
h-index
1
h-index
École Nationale Supérieure des Mines de Paris, France
1 publications · 42 citations
1
h-index
1–5 of 77
55

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
143 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
62 citations

The University of Western Australia
Perth, Australia
1 h-index
1 publications
129 citations
Airbus (India)
Bengaluru, India
1 h-index
1 publications
12 citations
University of Chile
Santiago, Chile
1 h-index
1 publications
42 citations
Indian Space Research Organisation
Bengaluru, India
1 h-index
2 publications
44 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
42 citations

Université Grenoble Alpes
Saint-Martin-d'Hères, France
1 h-index
2 publications
40 citations
1–8 of 55
2 publications · 40 citations
2
h-index
2 publications · 82 citations
2
h-index
2 publications · 30 citations
2
h-index
MSSP · 1 publications · 22 citations
1
h-index
1 publications · 25 citations
1
h-index
1–5