Potential Field Data Processing

Potential Field Data Processing is a geophysical data analysis methodology that specifically involves the interpretation and enhancement of gravitational and magnetic field measurements to infer subsurface geological structures by isolating and modeling spatial variations in potential fields.

313

Publications

14.4K

Citations

730

Authors

311

Institutions

Publications per year

2017–2026

82

Authors

730

  1. LT
    Luan Thanh Pham

    Vietnam National University, Hanoi, Vietnam

    16 publications · 684 citations

    14

    h-index

  2. GC
    G.R.J. Cooper

    University of the Witwatersrand, South Africa

    11 publications · 1.1K citations

    11

    h-index

  3. MF
    Maurizio Fedi

    University of Naples Federico II, Italy

    11 publications · 477 citations

    11

    h-index

  4. MP
    Mark Pilkington

    Geological Survey of Canada, Canada

    8 publications · 363 citations

    8

    h-index

  5. AM
    Ahmed M. Eldosouky

    Suez University, Egypt

    8 publications · 339 citations

    8

    h-index

1–5 of 730

Venues

  1. Geophysics

    51 publications · 3.9K citations

    29

    h-index

  2. Geophysical Prospecting

    20 publications · 702 citations

    16

    h-index

  3. Journal of Applied Geophysics

    16 publications · 463 citations

    14

    h-index

  4. Tectonophysics

    14 publications · 565 citations

    13

    h-index

  5. Geophysical Journal International

    GJI · 11 publications · 658 citations

    11

    h-index

1–5