Spectral Peak Deconvolution

Spectral Peak Deconvolution is a computational method in spectral interpretation that separates overlapping spectral peaks into individual components by estimating their constituent parameters, such as position, intensity, and width, to resolve the underlying physical or chemical sources.

280

Publications

13.7K

Citations

1K

Authors

441

Institutions

Publications per year

2017–2026

62

Authors

1K

  1. TV
    Tincuta Veriotti

    University of Michigan, United States

    4 publications · 124 citations

    4

    h-index

  2. RS
    Richard Sacks

    University of Michigan, United States

    4 publications · 124 citations

    4

    h-index

  3. AR
    Albert Robbat

    Tufts University, United States

    4 publications · 144 citations

    4

    h-index

  4. JD
    James D. Otvos

    LabCorp (United States), United States

    3 publications · 782 citations

    3

    h-index

  5. JT
    J.R. Torres-Lapası́o

    Universitat de València, Spain

    3 publications · 282 citations

    3

    h-index

1–5 of 1K

Venues

  1. Analytical Chemistry

    16 publications · 635 citations

    14

    h-index

  2. Journal of Chromatography A

    14 publications · 592 citations

    13

    h-index

  3. 10

    h-index

  4. Analytica Chimica Acta

    7 publications · 184 citations

    7

    h-index

  5. Journal of Magnetic Resonance (1969)

    6 publications · 120 citations

    6

    h-index

1–5