Unmixing Models
Unmixing Models is a mathematical modeling framework used in sediment source identification and source apportionment that distinguishes itself by quantitatively resolving the proportional contributions of distinct sediment sources to a mixed environmental deposit through the analysis of diagnostic sediment tracers.
328
Publications
27.6K
Citations
962
Authors
442
Institutions
Publications per year
2017–2026
129
328
N. Keshava, John F. Mustard · IEEE Signal Processing Magazine · 2002 · 2.2K citations
N. Keshava, John F. Mustard · IEEE Signal Processing Magazine · 2002 · 1.4K citations
1–5 of 328
962
15
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13
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Institut National Polytechnique de Toulouse, France
10 publications · 1.2K citations
10
h-index
9
h-index
1–5 of 962
442

Chinese Academy of Sciences
Beijing, China
19 h-index
70 publications
5.2K citations
Institut National Polytechnique de Toulouse
Toulouse, France
16 h-index
46 publications
6.7K citations

Université Toulouse III - Paul Sabatier
Toulouse, France
16 h-index
50 publications
6.3K citations

Centre National de la Recherche Scientifique
Paris, France
16 h-index
45 publications
2.2K citations

Universidad de Extremadura
Badajoz, Spain
16 h-index
26 publications
4.2K citations
Institut Polytechnique de Bordeaux
Bordeaux, France
15 h-index
43 publications
6.2K citations

Université Toulouse-I-Capitole
Toulouse, France
15 h-index
43 publications
6.2K citations
Université Toulouse - Jean Jaurès
Toulouse, France
15 h-index
43 publications
6.2K citations
1–8 of 442
64 publications · 8.5K citations
38
h-index
27 publications · 1K citations
20
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21 publications · 577 citations
14
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GRSL · 15 publications · 599 citations
14
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15 publications · 922 citations
14
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