Joint Gravity Inversion

Joint Gravity Inversion is a geophysical inversion method that integrates gravity data with complementary geoscientific datasets or constraints to simultaneously reconstruct subsurface density distributions, distinguished by its incorporation of multiple data types within a unified optimization framework to enhance model resolution and geological consistency.

126

Publications

4.9K

Citations

397

Authors

224

Institutions

Publications per year

2017–2026

56

Authors

397

  1. MS
    Michael S. Zhdanov

    University of Utah, United States

    7 publications · 283 citations

    7

    h-index

  2. LA
    Luis A. Gallardo

    Centro de Investigación Científica y de Educación Superior de Ensenada, Mexico

    7 publications · 412 citations

    7

    h-index

  3. CT
    Christel Tiberi

    Centre National de la Recherche Scientifique, France

    7 publications · 316 citations

    7

    h-index

  4. YL
    Yaoguo Li

    Colorado School of Mines, United States

    6 publications · 202 citations

    6

    h-index

  5. PT
    Pascal Tarits

    Université de Bretagne Occidentale, France

    4 publications · 205 citations

    4

    h-index

1–5 of 397

Venues

  1. Geophysical Journal International

    GJI · 28 publications · 910 citations

    18

    h-index

  2. Geophysics

    9 publications · 608 citations

    9

    h-index

  3. Earth and Planetary Science Letters

    7 publications · 521 citations

    7

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 5 publications · 360 citations

    5

    h-index

  5. Geophysical Research Letters

    5 publications · 314 citations

    5

    h-index

1–5