Unfolding Techniques

Unfolding Techniques is a computational methodology in gamma-ray data analysis that belongs to the class of inverse problem-solving methods, distinguished by its specific purpose of reconstructing the true energy or intensity distribution of incident radiation from distorted or detector-broadened measurements through mathematical deconvolution and statistical correction.

306

Publications

13.9K

Citations

6.7K

Authors

576

Institutions

Publications per year

2017–2026

97

Authors

6.7K

  1. JJ
    J. Jia

    Brookhaven National Laboratory, United States

    5 publications · 299 citations

    5

    h-index

  2. BT
    Brandon T. Ruotolo

    University of Michigan, United States

    5 publications · 315 citations

    5

    h-index

  3. DI
    Dmitrii I. Levitsky

    A N Bach Institute of Biochemistry, Russia

    5 publications · 100 citations

    5

    h-index

  4. KK
    Keshab K. Parhi

    University of Minnesota, United States

    5 publications · 616 citations

    5

    h-index

  5. ON
    Olga Nikolaeva

    Lomonosov Moscow State University, Russia

    4 publications · 81 citations

    4

    h-index

1–5 of 6.7K

Venues

  1. 15

    h-index

  2. arXiv (Cornell University)

    Repository · 13 publications · 733 citations

    11

    h-index

  3. Nuclear Instruments and Methods

    8 publications · 105 citations

    8

    h-index

  4. European Journal of Biochemistry

    EJB · 5 publications · 149 citations

    5

    h-index

  5. Psychometrika

    5 publications · 368 citations

    5

    h-index

1–5