Studia Geophysica et Geodaetica

Papers
(The TQCC of Studia Geophysica et Geodaetica is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
A two-stage seismic data denoising network based on deep learning10
Tracing real-valued reference rays in anisotropic viscoelastic media5
Velocity analysis of noisy seismic data based on RSVD weighted semblance4
Evaluation of GOCE/GRACE and combined global geopotential models using GNSS/levelling data over Nigeria4
Reanalysis of historical earthquakes to improve seismic hazard assessment: Case study of the 1880 Zagreb (Croatia) earthquake4
Effect of water content and sodium sulfate concentration on the resistivity of red clay3
A priori and effective estimation of variance factors based on the code chipping rate in BeiDou navigation satellite system positioning2
Relationship between soil magnetic susceptibility enhancement and precipitation in Cretaceous paleosols2
The stability criterion for downward continuation of surface gravity data with various spatial resolutions over Ireland2
Regionally adjusted ground motion model: Case study of the ML6.2 (Mw6.4) Petrinja (Croatia) 2020 earthquake2
Erratum to “Improving the accuracy of the expanded anisotropic eikonal equation at larger offsets using Levin’s T-transformation”1
Velocity structure and its relation to the seismicity of Datong Window and adjacent regions in Shanxi Province, North China1
Geoelectrical imaging and spatial distribution of alluvial materials of the Sanaga River (Cameroon, Central Africa)1
Supervision of seismic velocity models of the Reykjanes Peninsula Rift, SW Iceland1
Evaluation of latest marine gravity field models derived from satellite altimetry over the Gulf of Guinea (Central Africa) with shipborne gravity data1
Expressions for the calculation of isotropic Gaussian filter kernels in the spherical harmonic domain1
Medium- and long-term prediction of length-of-day changes with the combined singular spectrum analysis and neural networks1
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