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
Parents
313
1–5 of 313
730
14
h-index
11
h-index
11
h-index
8
h-index
8
h-index
1–5 of 730
311
Geological Survey of Canada
Ottawa, Canada
14 h-index
28 publications
841 citations
United States Geological Survey
Reston, United States
14 h-index
26 publications
1.4K citations
Vietnam National University, Hanoi
Hanoi, Vietnam
14 h-index
26 publications
1.2K citations

University of the Witwatersrand
Johannesburg, South Africa
13 h-index
15 publications
1.6K citations
China University of Geosciences
Wuhan, China
12 h-index
26 publications
711 citations
Jilin University
Changchun, China
11 h-index
36 publications
964 citations

University of Naples Federico II
Naples, Italy
11 h-index
27 publications
888 citations
Jilin Province Science and Technology Department
Changchun, China
10 h-index
33 publications
914 citations
1–8 of 311
51 publications · 3.9K citations
29
h-index
20 publications · 702 citations
16
h-index
16 publications · 463 citations
14
h-index
14 publications · 565 citations
13
h-index
GJI · 11 publications · 658 citations
11
h-index
1–5