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Daniel Trugman
Daniel Trugman
Assistant Professor, Nevada Seismological Laboratory, University of Nevada Reno
Verified email at unr.edu - Homepage
Title
Cited by
Cited by
Year
Machine learning in seismology: Turning data into insights
Q Kong, DT Trugman, ZE Ross, MJ Bianco, BJ Meade, P Gerstoft
Seismological Research Letters 90 (1), 3-14, 2019
4912019
Searching for hidden earthquakes in Southern California
ZE Ross, DT Trugman, E Hauksson, PM Shearer
Science 364 (6442), 767-771, 2019
3302019
GrowClust: A hierarchical clustering algorithm for relative earthquake relocation, with application to the Spanish Springs and Sheldon, Nevada, earthquake sequences
DT Trugman, PM Shearer
Seismological Research Letters 88 (2A), 379-391, 2017
2722017
3D fault architecture controls the dynamism of earthquake swarms
ZE Ross, ES Cochran, DT Trugman, JD Smith
Science 368 (6497), 1357-1361, 2020
1992020
Acoustic emission and microslip precursors to stick‐slip failure in sheared granular material
PA Johnson, B Ferdowsi, BM Kaproth, M Scuderi, M Griffa, J Carmeliet, ...
Geophysical Research Letters 40 (21), 5627-5631, 2013
1642013
Strong Correlation between Stress Drop and Peak Ground Acceleration for Recent M 1–4 Earthquakes in the San Francisco Bay Area
DT Trugman, PM Shearer
Bulletin of the Seismological Society of America 108 (2), 929-945, 2018
1112018
Application of an improved spectral decomposition method to examine earthquake source scaling in Southern California
DT Trugman, PM Shearer
Journal of Geophysical Research: Solid Earth 122 (4), 2890-2910, 2017
1042017
Comparing EGF Methods for Estimating Corner Frequency and Stress Drop From P Wave Spectra
PM Shearer, RE Abercrombie, DT Trugman, W Wang
Journal of Geophysical Research: Solid Earth 124 (4), 3966-3986, 2019
992019
Pervasive foreshock activity across southern California
DT Trugman, ZE Ross
Geophysical Research Letters 46 (15), 8772-8781, 2019
912019
Peak ground displacement saturates exactly when expected: Implications for earthquake early warning
DT Trugman, MT Page, SE Minson, ES Cochran
Journal of Geophysical Research: Solid Earth 124 (5), 4642-4653, 2019
832019
SeismoGen: Seismic waveform synthesis using GAN with application to seismic data augmentation
T Wang, D Trugman, Y Lin
Journal of Geophysical Research: Solid Earth 126 (4), e2020JB020077, 2021
712021
Source spectral properties of small‐to‐moderate earthquakes in southern Kansas
DT Trugman, SL Dougherty, ES Cochran, PM Shearer
Journal of Geophysical Research: Solid Earth 122 (10), JGRB52338, 2017
612017
A comparison of long‐term changes in seismicity at The Geysers, Salton Sea, and Coso geothermal fields
DT Trugman, PM Shearer, AA Borsa, Y Fialko
Journal of Geophysical Research: Solid Earth 121 (1), 225-247, 2016
612016
Big data seismology
SJ Arrowsmith, DT Trugman, J MacCarthy, KJ Bergen, D Lumley, ...
Reviews of Geophysics 60 (2), e2021RG000769, 2022
572022
Does earthquake stress drop increase with depth in the crust?
RE Abercrombie, DT Trugman, PM Shearer, X Chen, J Zhang, ...
Journal of Geophysical Research: Solid Earth 126 (10), e2021JB022314, 2021
502021
Stress‐drop and source scaling of the 2019 Ridgecrest, California, earthquake sequence
DT Trugman
Bulletin of the Seismological Society of America 110 (4), 1859-1871, 2020
502020
Did stresses from the Cerro Prieto geothermal field influence the El Mayor‐Cucapah rupture sequence?
DT Trugman, AA Borsa, DT Sandwell
Geophysical Research Letters 41 (24), 8767-8774, 2014
402014
A 2D pseudodynamic rupture model generator for earthquakes on geometrically complex faults
DT Trugman, EM Dunham
Bulletin of the Seismological Society of America 104 (1), 95-112, 2014
382014
Imaging Stress and Faulting Complexity Through Earthquake Waveform Similarity
DT Trugman, ZE Ross, PA Johnson
Geophysical Research Letters 47, e2019GL085888, 2020
362020
Machine learning for fast and reliable source-location estimation in earthquake early warning
OM Saad, Y Chen, D Trugman, MS Soliman, L Samy, A Savvaidis, ...
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022
342022
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