Identifiability Criteria
Identifiability Criteria is a formal framework within mathematical and statistical modeling that specifies the necessary and sufficient conditions under which the parameters of a model can be uniquely determined from observable data.
320
Publications
20.7K
Citations
645
Authors
360
Institutions
Publications per year
2017–2026
54
Parents
320
1–5 of 320
645
6
h-index
5
h-index
5
h-index
5
h-index
5
h-index
1–5 of 645
360

Centre National de la Recherche Scientifique
Paris, France
10 h-index
21 publications
888 citations

University of Minnesota
Minneapolis, United States
9 h-index
14 publications
2.7K citations
University of Michigan
Ann Arbor, United States
8 h-index
12 publications
900 citations

University of Padua
Padua, Italy
7 h-index
9 publications
398 citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
16 publications
4.4K citations
University of Southern California
Los Angeles, United States
6 h-index
8 publications
582 citations
Columbia University
New York, United States
5 h-index
7 publications
325 citations
University of Wisconsin–Madison
Madison, United States
5 h-index
6 publications
573 citations
1–8 of 360
16 publications · 2K citations
13
h-index
13 publications · 564 citations
13
h-index
12 publications · 1.1K citations
11
h-index
9 publications · 284 citations
9
h-index
Repository · 9 publications · 403 citations
9
h-index
1–5