Inverse Problem Parameter Estimation

Inverse Problem Parameter Estimation is a methodological framework within parameter estimation under uncertainty that involves inferring model parameters from observed data by solving a mathematical inverse problem, distinguishing it from direct estimation approaches through its reliance on indirect measurement-to-parameter mapping.

358

Publications

22K

Citations

789

Authors

385

Institutions

Publications per year

2017–2026

88

Authors

789

  1. HT
    H. T. Banks

    North Carolina State University, United States

    6 publications · 171 citations

    6

    h-index

  2. HR
    Helcio R. B. Orlande

    Universidade Federal do Rio de Janeiro, Brazil

    6 publications · 156 citations

    6

    h-index

  3. GS
    George S. Dulikravich

    Florida International University, United States

    5 publications · 104 citations

    5

    h-index

  4. AA
    Akhtar A. Khan

    Rochester Institute of Technology, United States

    4 publications · 108 citations

    4

    h-index

  5. PK
    Peter K. Kitanidis

    Stanford University, United States

    4 publications · 868 citations

    4

    h-index

1–5 of 789

Venues

  1. Inverse Problems

    28 publications · 1.8K citations

    19

    h-index

  2. Water Resources Research

    20 publications · 4K citations

    17

    h-index

  3. Inverse Problems in Science and Engineering

    IPSE · 11 publications · 207 citations

    11

    h-index

  4. Geophysical Journal International

    GJI · 11 publications · 1.9K citations

    11

    h-index

  5. Journal of Inverse and Ill-Posed Problems

    10 publications · 362 citations

    10

    h-index

1–5