Spectral Peak Fitting
Spectral Peak Fitting is a computational method used in spectral analysis to model individual peaks within a spectrum by estimating their parameters—such as position, intensity, width, and shape—through optimization techniques that minimize the difference between observed data and a superposition of parametric peak functions.
278
Publications
32.6K
Citations
869
Authors
409
Institutions
Publications per year
2017–2026
62
Parents
278
A tutorial on spectral clustering
Ulrike von Luxburg · Statistics and Computing · 2007 · 10.3K citations · Full text
Martin F. Sunding, Kianoosh Hadidi, Spyros Diplas et al. · Journal of Electron Spectroscopy and Related Phenomena · 2011 · 618 citations
Natural Sciences, Materials Engineering, Materials Science +15
1–5 of 278
869
Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
9 publications · 771 citations
9
h-index
7
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5
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5
h-index
4
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1–5 of 869
409

Centre National de la Recherche Scientifique
Paris, France
9 h-index
19 publications
1.5K citations

Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional
Mexico City, Mexico
9 h-index
21 publications
1.7K citations
Brigham Young University
Provo, United States
7 h-index
44 publications
6.8K citations

Pacific Northwest National Laboratory
Richland, United States
6 h-index
24 publications
3.1K citations
Institut des Matériaux Jean Rouxel
Nantes, France
6 h-index
6 publications
797 citations
CSIRO Manufacturing
Canberra, Australia
5 h-index
20 publications
2.6K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
18 publications
1.3K citations
National Institute for Materials Science
Tsukuba, Japan
4 h-index
18 publications
2.6K citations
1–8 of 409
15 publications · 748 citations
13
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MRM · 12 publications · 583 citations
11
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SIA · 12 publications · 878 citations
11
h-index
10 publications · 968 citations
10
h-index
7 publications · 164 citations
8
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1–5