Spectral Line Deconvolution

Spectral Line Deconvolution is a computational method in spectroscopy that disentangles overlapping spectral features by mathematically inverting the instrumentally broadened line shapes to recover the intrinsic spectral line structure.

112

Publications

6.7K

Citations

355

Authors

175

Institutions

Publications per year

2017–2026

15

Authors

355

  1. SD
    S. Djeniže

    University of Belgrade, Serbia

    3 publications · 48 citations

    3

    h-index

  2. AR
    Albert Robbat

    Tufts University, United States

    3 publications · 103 citations

    3

    h-index

  3. VM
    V. Milosavljević

    University of Belgrade, Serbia

    3 publications · 48 citations

    3

    h-index

  4. GL
    Guillaume L. Erny

    Instituto de Fermentaciones Industriales, Spain

    3 publications · 41 citations

    3

    h-index

  5. KN
    Kenji Nagata

    The University of Tokyo, Japan

    2 publications · 65 citations

    2

    h-index

1–5 of 355

Venues

  1. Astronomy and Astrophysics

    7 publications · 722 citations

    7

    h-index

  2. Applied Optics

    4 publications · 287 citations

    4

    h-index

  3. The Astrophysical Journal

    ApJ · 4 publications · 145 citations

    4

    h-index

  4. Journal of Chromatography A

    4 publications · 124 citations

    4

    h-index

  5. Applied Spectroscopy

    4 publications · 1.5K citations

    4

    h-index

1–5