Self-potential Forward Modeling

Self-Potential Forward Modeling is a computational technique within geophysical modeling that predicts the distribution of self-potential anomalies arising from subsurface electrochemical and electrokinetic sources by simulating the governing physical laws under specified geological and hydrological conditions.

41

Publications

1.5K

Citations

97

Authors

54

Institutions

Publications per year

2017–2026

10

Authors

97

  1. YC
    Yi-an Cui

    Central South University, China

    4 publications · 57 citations

    4

    h-index

  2. JL
    Jianxin Liu

    Central South University, China

    3 publications · 41 citations

    3

    h-index

  3. AR
    A. Revil

    Centre National de la Recherche Scientifique, France

    3 publications · 159 citations

    3

    h-index

  4. DA
    D. Atchuta Rao

    National Geophysical Research Institute, India

    3 publications · 108 citations

    3

    h-index

  5. HV
    H. V. Ram Babu

    National Geophysical Research Institute, India

    3 publications · 108 citations

    3

    h-index

1–5 of 97

Venues

  1. Journal of Applied Geophysics

    7 publications · 228 citations

    7

    h-index

  2. Pure and Applied Geophysics

    PAGEOPH · 6 publications · 140 citations

    6

    h-index

  3. Journal of Hydrology

    2 publications · 71 citations

    2

    h-index

  4. Geophysical Journal International

    GJI · 2 publications · 109 citations

    2

    h-index

  5. Geophysical Research Letters

    2 publications · 110 citations

    2

    h-index

1–5