Seismic Data Inversion

Seismic Data Inversion is a computational method in geophysics that belongs to the class of seismic data processing techniques, distinguished by its purpose of deducing subsurface physical properties from observed seismic measurements through the solution of an inverse problem.

2.7K

Publications

143.7K

Citations

5.4K

Authors

1.4K

Institutions

Publications per year

2017–2026

743

Authors

5.4K

  1. MK
    Mrinal K. Sen

    The University of Texas at Austin, United States

    31 publications · 2K citations

    22

    h-index

  2. SC
    S. C. Singh

    Institut de physique du globe de Paris, France

    29 publications · 1.9K citations

    21

    h-index

  3. TA
    Tariq Alkhalifah

    King Abdullah University of Science and Technology, Saudi Arabia

    32 publications · 1.3K citations

    20

    h-index

  4. YW
    Yanghua Wang

    Imperial College London, United Kingdom

    23 publications · 759 citations

    19

    h-index

  5. DG
    Darío Graña

    University of Wyoming, United States

    21 publications · 1.1K citations

    19

    h-index

1–5 of 5.4K

Venues

  1. Geophysics

    500 publications · 45.1K citations

    104

    h-index

  2. Geophysical Journal International

    GJI · 311 publications · 23.2K citations

    76

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 92 publications · 8.4K citations

    56

    h-index

  4. Geophysical Prospecting

    150 publications · 6.2K citations

    44

    h-index

  5. The Leading Edge

    TLE · 107 publications · 3.9K citations

    32

    h-index

1–5