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

Authors

869

  1. AH
    Alberto Herrera‐Gómez

    Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico

    9 publications · 771 citations

    9

    h-index

  2. MR
    Matthew R. Linford

    Brigham Young University, United States

    7 publications · 858 citations

    7

    h-index

  3. GH
    George H. Major

    Brigham Young University, United States

    5 publications · 810 citations

    5

    h-index

  4. NF
    Neal Fairley

    Teignmouth Community Hospital, United Kingdom

    5 publications · 768 citations

    5

    h-index

  5. VF
    Vincent Fernandez

    Institut des Matériaux Jean Rouxel, France

    4 publications · 652 citations

    4

    h-index

1–5 of 869

Venues

  1. Applied Spectroscopy

    15 publications · 748 citations

    13

    h-index

  2. Magnetic Resonance in Medicine

    MRM · 12 publications · 583 citations

    11

    h-index

  3. Surface and Interface Analysis

    SIA · 12 publications · 878 citations

    11

    h-index

  4. 10

    h-index

  5. Analytica Chimica Acta

    7 publications · 164 citations

    8

    h-index

1–5