Computational Inverse Problems

Computational Inverse Problems is an academic framework that formulates and solves inverse problems—where unknown causes are deduced from observed effects—through numerical algorithms and mathematical modeling within the domain of Computational Mathematics.

4K

Publications

242.4K

Citations

7K

Authors

2.1K

Institutions

Publications per year

2017–2026

1.1K

Authors

7K

  1. PS
    Predrag S. Stanimirović

    University of Nis, Serbia

    35 publications · 1K citations

    21

    h-index

  2. YW
    Yimin Wei

    Fudan University, China

    26 publications · 969 citations

    18

    h-index

  3. AM
    Andrew M. Stuart

    University of Warwick, United Kingdom

    21 publications · 3.5K citations

    18

    h-index

  4. MV
    Michael V. Klibanov

    University of North Carolina at Charlotte, United States

    26 publications · 777 citations

    18

    h-index

  5. BJ
    Bangti Jin

    University College London, United Kingdom

    17 publications · 937 citations

    17

    h-index

1–5 of 7K

Venues

  1. Inverse Problems

    371 publications · 26.7K citations

    80

    h-index

  2. Geophysical Journal International

    GJI · 62 publications · 7.4K citations

    38

    h-index

  3. arXiv (Cornell University)

    Repository · 121 publications · 5.3K citations

    32

    h-index

  4. Journal of Computational Physics

    55 publications · 3.6K citations

    29

    h-index

  5. Journal of Inverse and Ill-Posed Problems

    78 publications · 2.3K citations

    29

    h-index

1–5