Inverse Problem Solving

Inverse Problem Solving is a mathematical and computational approach that distinguishes itself by inferring intrinsic material properties from observed spectral responses in Near-Infrared Spectroscopy, as opposed to predicting spectra from known properties.

3.1K

Publications

138.6K

Citations

7.6K

Authors

2.3K

Institutions

Publications per year

2017–2026

835

Authors

7.6K

  1. MD
    Mauricio D. Sacchi

    University of Alberta, Canada

    12 publications · 1.1K citations

    11

    h-index

  2. MV
    Michael V. Klibanov

    University of North Carolina at Charlotte, United States

    11 publications · 219 citations

    11

    h-index

  3. MD
    Mehdi Dehghan

    Amirkabir University of Technology, Iran

    10 publications · 550 citations

    10

    h-index

  4. SA
    S. A. Dolenko

    Lomonosov Moscow State University, Russia

    10 publications · 161 citations

    10

    h-index

  5. HR
    Helcio R. B. Orlande

    Universidade Federal do Rio de Janeiro, Brazil

    9 publications · 184 citations

    9

    h-index

1–5 of 7.6K

Venues

  1. Inverse Problems

    157 publications · 7.3K citations

    43

    h-index

  2. Geophysics

    57 publications · 5.6K citations

    31

    h-index

  3. Geophysical Journal International

    GJI · 43 publications · 4.4K citations

    30

    h-index

  4. IEEE Transactions on Magnetics

    64 publications · 2.1K citations

    27

    h-index

  5. IEEE Transactions on Biomedical Engineering

    34 publications · 2.1K citations

    25

    h-index

1–5