Deconvolution Techniques

Deconvolution Techniques is a computational method in X-ray data analysis that separates overlapping signals or artifacts from measured data to recover the underlying true signal by mathematically inverting the convolution process introduced by the instrument response or noise.

1.4K

Publications

88.2K

Citations

4K

Authors

1.4K

Institutions

Publications per year

2017–2026

250

Authors

4K

  1. MB
    M. Bertero

    University of Genoa, Italy

    12 publications · 426 citations

    12

    h-index

  2. PB
    Patrizia Boccacci

    University of Genoa, Italy

    11 publications · 318 citations

    11

    h-index

  3. AL
    Alexander Leemans

    University Medical Center Utrecht, Netherlands

    11 publications · 513 citations

    11

    h-index

  4. BJ
    Ben Jeurissen

    University of Antwerp, Belgium

    8 publications · 2K citations

    8

    h-index

  5. HL
    H. Lantéri

    Université Côte d'Azur, France

    8 publications · 238 citations

    8

    h-index

1–5 of 4K

Venues

  1. Geophysics

    52 publications · 2.6K citations

    26

    h-index

  2. Astronomy and Astrophysics

    29 publications · 1.2K citations

    20

    h-index

  3. Journal of the Optical Society of America A

    20 publications · 1.4K citations

    18

    h-index

  4. 17

    h-index

  5. NeuroImage

    17 publications · 6.7K citations

    17

    h-index

1–5