| Similarity of fast and slow earthquakes illuminated by machine learning C Hulbert, B Rouet-Leduc, PA Johnson, CX Ren, J Rivière, DC Bolton, ... Nature Geoscience 12 (1), 69-74, 2019 | 139 | 2019 |
| DeepDetect: A cascaded region-based densely connected network for seismic event detection Y Wu, Y Lin, Z Zhou, DC Bolton, J Liu, P Johnson IEEE Transactions on Geoscience and Remote Sensing 57 (1), 62-75, 2018 | 133 | 2018 |
| Estimating fault friction from seismic signals in the laboratory B Rouet‐Leduc, C Hulbert, DC Bolton, CX Ren, J Riviere, C Marone, ... Geophysical Research Letters 45 (3), 1321-1329, 2018 | 83 | 2018 |
| Characterizing acoustic signals and searching for precursors during the laboratory seismic cycle using unsupervised machine learning DC Bolton, P Shokouhi, B Rouet‐Leduc, C Hulbert, J Rivière, C Marone, ... Seismological Research Letters 90 (3), 1088-1098, 2019 | 48 | 2019 |
| Earthquake catalog‐based machine learning identification of laboratory fault states and the effects of magnitude of completeness N Lubbers, DC Bolton, J Mohd‐Yusof, C Marone, K Barros, PA Johnson Geophysical Research Letters 45 (24), 13,269-13,276, 2018 | 47 | 2018 |
| Acoustic energy release during the laboratory seismic cycle: Insights on laboratory earthquake precursors and prediction DC Bolton, S Shreedharan, J Rivière, C Marone Journal of Geophysical Research: Solid Earth 125 (8), e2019JB018975, 2020 | 39 | 2020 |
| Preseismic fault creep and elastic wave amplitude precursors scale with lab earthquake magnitude for the continuum of tectonic failure modes S Shreedharan, DC Bolton, J Rivière, C Marone Geophysical Research Letters 47 (8), e2020GL086986, 2020 | 36 | 2020 |
| Competition between preslip and deviatoric stress modulates precursors for laboratory earthquakes S Shreedharan, DC Bolton, J Rivière, C Marone Earth and Planetary Science Letters 553, 116623, 2021 | 25 | 2021 |
| The spatiotemporal evolution of granular microslip precursors to laboratory earthquakes DT Trugman, IW McBrearty, DC Bolton, RA Guyer, C Marone, PA Johnson Geophysical Research Letters 47 (16), e2020GL088404, 2020 | 21 | 2020 |
| Machine learning predicts the timing and shear stress evolution of lab earthquakes using active seismic monitoring of fault zone processes S Shreedharan, DC Bolton, J Rivière, C Marone Journal of Geophysical Research: Solid Earth 126 (7), e2020JB021588, 2021 | 18 | 2021 |
| Attention network forecasts time‐to‐failure in laboratory shear experiments H Jasperson, DC Bolton, P Johnson, R Guyer, C Marone, MV de Hoop Journal of Geophysical Research: Solid Earth 126 (11), e2021JB022195, 2021 | 16 | 2021 |
| Frequency‐magnitude statistics of laboratory foreshocks vary with shear velocity, fault slip rate, and shear stress DC Bolton, S Shreedharan, J Rivière, C Marone Journal of Geophysical Research: Solid Earth 126 (11), e2021JB022175, 2021 | 13 | 2021 |
| The high‐frequency signature of slow and fast laboratory earthquakes DC Bolton, S Shreedharan, GC McLaskey, J Rivière, P Shokouhi, ... Journal of Geophysical Research: Solid Earth 127 (6), e2022JB024170, 2022 | 11 | 2022 |
| Unsupervised classification of acoustic emissions from catalogs and fault time-to-failure prediction HA Jasperson, DC Bolton, PA Johnson, C Marone, M Dehoop AGU Fall Meeting Abstracts 2019, S53A-06, 2019 | 10 | 2019 |
| Cascaded contextual region-based convolutional neural network for event detection from time series signals: A seismic application Y Wu, Y Lin, Z Zhou, DC Bolton, J Liu, P Johnson arXiv preprint arXiv:1709.07943 17, 2017 | 8 | 2017 |
| Foreshock properties illuminate nucleation processes of slow and fast laboratory earthquakes DC Bolton, C Marone, D Saffer, DT Trugman Nature communications 14 (1), 3859, 2023 | 6 | 2023 |
| Estimating the physical state of a laboratory slow slipping fault from seismic signals C Hulbert, B Rouet-Leduc, CX Ren, J Riviere, DC Bolton, C Marone, ... arXiv preprint arXiv:1801.07806, 2018 | 4 | 2018 |
| Cascaded region-based densely connected network for event detection: A seismic application Y Wu, Y Lin, Z Zhou, DC Bolton, J Liu, P Johnson arXiv preprint arXiv:1709.07943, 2017 | 3 | 2017 |
| Machine learning predicts the timing and shear stress evolution of lab earthquakes using active seismic monitoring of fault zone processes S Shreedharan, DC Bolton, J Rivière, C Marone Authorea Preprints, 2022 | 2 | 2022 |
| Fault friction constitutive law derived from continuous acoustic emissions by machine learning B Rouet-Leduc, C Hulbert, DC Bolton, CX Ren, C Marone, RA Guyer, ... arXiv preprint arXiv:1710.04172, 2017 | 2 | 2017 |
Chris MaroneProfessor of Geophysics, La Sapienza Università di Roma and Penn State UniversityE-mail megerősítve itt: psu.edu
