OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Geophysical Research-Solid Earth is 35. 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 2020-11-01 to 2024-11-01.)

Article	Citations
Physics‐Informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions	125
Precursory Slow Slip and Foreshocks on Rough Faults	83
Which Picker Fits My Data? A Quantitative Evaluation of Deep Learning Based Seismic Pickers	78
Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis	76
On the Detection Capabilities of Underwater Distributed Acoustic Sensing	64
B‐Positive: A Robust Estimator of Aftershock Magnitude Distribution in Transiently Incomplete Catalogs	64
Earthquake Phase Association Using a Bayesian Gaussian Mixture Model	56
A Revised Adiabatic Temperature Profile for the Mantle	55
SCALODEEP: A Highly Generalized Deep Learning Framework for Real‐Time Earthquake Detection	53
Propagating Seismic Waves in VTI Attenuating Media Using Fractional Viscoelastic Wave Equation	50
A Machine Learning‐Based Approach to Clinopyroxene Thermobarometry: Model Optimization and Distribution for Use in Earth Sciences	46
Deep‐Learning‐Based Inverse Modeling Approaches: A Subsurface Flow Example	46
SeismoGen: Seismic Waveform Synthesis Using GAN With Application to Seismic Data Augmentation	46
Postseismic Deformation of the 2008 Wenchuan Earthquake Illuminates Lithospheric Rheological Structure and Dynamics of Eastern Tibet	45
Aquifer Monitoring Using Ambient Seismic Noise Recorded With Distributed Acoustic Sensing (DAS) Deployed on Dark Fiber	44
Large‐Scale Fracture Systems Are Permeable Pathways for Fault Activation During Hydraulic Fracturing	43
Pore‐Scale 3D Morphological Modeling and Physical Characterization of Hydrate‐Bearing Sediment Based on Computed Tomography	43
Machine Learning Prediction of Quartz Forming‐Environments	43
Wave Propagation in Infinituple‐Porosity Media	43
Distributed Acoustic Sensing (DAS) for Natural Microseismicity Studies: A Case Study From Antarctica	43
Creation of a Mixed‐Mode Fracture Network at Mesoscale Through Hydraulic Fracturing and Shear Stimulation	41
Predicting Geothermal Heat Flow in Antarctica With a Machine Learning Approach	40
Statistical Correlation Analysis Between Thermal Infrared Anomalies Observed From MTSATs and Large Earthquakes Occurred in Japan (2005–2015)	39
Predicting Global Marine Sediment Density Using the Random Forest Regressor Machine Learning Algorithm	39
Low‐Magnitude Seismicity With a Downhole Distributed Acoustic Sensing Array—Examples From the FORGE Geothermal Experiment	39

Weak Crust in Southeast Tibetan Plateau Revealed by Lg‐Wave Attenuation Tomography: Implications for Crustal Material Escape	39
Porosity Prediction With Uncertainty Quantification From Multiple Seismic Attributes Using Random Forest	37
A Little Data Goes a Long Way: Automating Seismic Phase Arrival Picking at Nabro Volcano With Transfer Learning	37
Error Assessment of GRACE and GRACE Follow‐On Mass Change	37
Over a Century of Sinking in Mexico City: No Hope for Significant Elevation and Storage Capacity Recovery	36
Heterogeneous Interseismic Coupling Along the Xianshuihe‐Xiaojiang Fault System, Eastern Tibet	36
An End‐To‐End Earthquake Detection Method for Joint Phase Picking and Association Using Deep Learning	36
A New b Value Estimation Method in Rock Acoustic Emission Testing	36
Siamese Earthquake Transformer: A Pair‐Input Deep‐Learning Model for Earthquake Detection and Phase Picking on a Seismic Array	36
Alteration‐Induced Volcano Instability at La Soufrière de Guadeloupe (Eastern Caribbean)	36
GPS Imaging of Global Vertical Land Motion for Studies of Sea Level Rise	35