49 citations as recorded by crossref.

1. Regional centroid moment tensor inversion of small to moderate earthquakes in the Alps using the dense AlpArray seismic network: challenges and seismotectonic insights G. Petersen et al. https://doi.org/10.5194/se-12-1233-2021
2. Resolvability of the Centroid‐Moment‐Tensors for Shallow Seismic Sources and Improvements From Modeling High‐Frequency Waveforms B. Hejrani & H. Tkalčić https://doi.org/10.1029/2020JB019643
3. Multifrequency measurements of core-diffractedPwaves (Pdiff) for global waveform tomography K. Hosseini & K. Sigloch https://doi.org/10.1093/gji/ggv298
4. Seismic moment tensors and estimated uncertainties in southern Alaska V. Silwal & C. Tape https://doi.org/10.1002/2015JB012588
5. Waveform-based Bayesian full moment tensor inversion and uncertainty determination for the induced seismicity in an oil/gas field C. Gu et al. https://doi.org/10.1093/gji/ggx517
6. Instaseis: instant global seismograms based on a broadband waveform database M. van Driel et al. https://doi.org/10.5194/se-6-701-2015
7. Accelerating Bayesian microseismic event location with deep learning A. Spurio Mancini et al. https://doi.org/10.5194/se-12-1683-2021
8. Bayesian estimation of non-linear centroid moment tensors using multiple seismic data sets M. Hamidbeygi et al. https://doi.org/10.1093/gji/ggad397
9. Preparing for InSight: Evaluation of the Blind Test for Martian Seismicity M. van Driel et al. https://doi.org/10.1785/0220180379
10. The Bayesian Earthquake Analysis Tool H. Vasyura-Bathke et al. https://doi.org/10.1785/0220190075
11. Bayesian ISOLA: new tool for automated centroid moment tensor inversion J. Vackář et al. https://doi.org/10.1093/gji/ggx158
12. MTUQ: a framework for estimating moment tensors, point forces, and their uncertainties J. Thurin et al. https://doi.org/10.1093/gji/ggaf080
13. Bayesian Seismic Source Inversion With a 3‐D Earth Model of the Japanese Islands S. Simutė et al. https://doi.org/10.1029/2022JB024231
14. Point source moment tensor inversion through a Bayesian hierarchical model M. Mustać & H. Tkalčić https://doi.org/10.1093/gji/ggv458
15. Estimation of Full Moment Tensors, Including Uncertainties, for Nuclear Explosions, Volcanic Events, and Earthquakes C. Alvizuri et al. https://doi.org/10.1029/2017JB015325
16. Gradient-based joint inversion of point-source moment tensor and station-specific time-shifts T. Phạm https://doi.org/10.1093/gji/ggae188
17. Solving probabilistic inverse problems rapidly with prior samples P. Käufl et al. https://doi.org/10.1093/gji/ggw108
18. On the global centroid moment tensor achievements and the next generation earthquake catalogs T. Phạm et al. https://doi.org/10.1016/j.pepi.2025.107490
19. Fully probabilistic seismic source inversion – Part 2: Modelling errors and station covariances S. Stähler & K. Sigloch https://doi.org/10.5194/se-7-1521-2016
20. Fully probabilistic seismic source inversion – Part 1: Efficient parameterisation S. Stähler & K. Sigloch https://doi.org/10.5194/se-5-1055-2014
21. Strain-based forward modeling and inversion of seismic moment tensors using distributed acoustic sensing (DAS) observations J. Lecoulant et al. https://doi.org/10.3389/feart.2023.1176921
22. Toward Improving Point‐Source Moment‐Tensor Inference by Incorporating 1D Earth Model's Uncertainty: Implications for the Long Valley Caldera Earthquakes T. Phạm & H. Tkalčić https://doi.org/10.1029/2021JB022477
23. Improved joint constraints on moment tensors, source time functions and uncertainty quantification for moderately large earthquakes J. Hu et al. https://doi.org/10.1093/gji/ggag154
24. Point‐Source Inversion of Small and Moderate Earthquakes From P‐wave Polarities and P/S Amplitude Ratios Within a Hierarchical Bayesian Framework: Implications for the Geysers Earthquakes X. Shang & H. Tkalčić https://doi.org/10.1029/2019JB018492
25. Bayesian regional moment tensor from ocean bottom seismograms recorded in the Lesser Antilles: implications for regional stress field M. Lindner et al. https://doi.org/10.1093/gji/ggac494
26. On the Implications of A Priori Constraints in Transdimensional Bayesian Inversion for Continental Lithospheric Layering C. Roy & B. Romanowicz https://doi.org/10.1002/2017JB014968
27. Estimation of Seismic Moment Tensors Using Variational Inference Machine Learning A. Steinberg et al. https://doi.org/10.1029/2021JB022685
28. The Marsquake Service: Securing Daily Analysis of SEIS Data and Building the Martian Seismicity Catalogue for InSight J. Clinton et al. https://doi.org/10.1007/s11214-018-0567-5
29. Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism D. Piras et al. https://doi.org/10.1093/gji/ggac385
30. A Hybrid Deep Learning Model for Rapid Probabilistic Earthquake Source Parameter Estimation With Displacement Waveforms From a Flexible Set of Seismic or HR-GNSS Stations X. Lin et al. https://doi.org/10.1109/TGRS.2023.3334729
31. Direct-seismogram inversion for receiver-side structure with uncertain source–time functions J. Dettmer et al. https://doi.org/10.1093/gji/ggv375
32. Accounting for theory errors with empirical Bayesian noise models in nonlinear centroid moment tensor estimation H. Vasyura-Bathke et al. https://doi.org/10.1093/gji/ggab034
33. A multibranch, multitarget neural network for rapid point-source inversion in a microseismic environment: examples from the Hengill Geothermal Field, Iceland N. Nooshiri et al. https://doi.org/10.1093/gji/ggab511
34. A nonlinear approach to assess network performance for moment-tensor studies of long-period signals in volcanic settings F. Lanza & G. Waite https://doi.org/10.1093/gji/ggy338
35. Imaging anisotropic layering with Bayesian inversion of multiple data types T. Bodin et al. https://doi.org/10.1093/gji/ggw124
36. First Focal Mechanisms of Marsquakes N. Brinkman et al. https://doi.org/10.1029/2020JE006546
37. Time-domain moment tensor inversion of moderate earthquakes in the northern red sea: Velocity model sensitivity and bootstrap uncertainty quantification M. Taha et al. https://doi.org/10.1007/s10950-026-10372-w
38. Full Moment Tensor Analysis of Nuclear Explosions in North Korea C. Alvizuri & C. Tape https://doi.org/10.1785/0220180158
39. Hamiltonian Monte Carlo Inversion of Seismic Sources in Complex Media A. Fichtner & S. Simutė https://doi.org/10.1002/2017JB015249
40. Full-waveform earthquake source inversion using simulation-based inference A. Saoulis et al. https://doi.org/10.1093/gji/ggaf112
41. A new automated procedure to obtain reliable moment tensor solutions of small to moderate earthquakes (3.0 ≤ M ≤ 5.5) in the Bayesian framework Y. Halauwet et al. https://doi.org/10.1093/gji/ggae309
42. On the robustness of seismic moment tensor inversions for mid-ocean earthquakes: the Azores archipelago M. Frietsch et al. https://doi.org/10.1093/gji/ggy294
43. Seismic moment tensor inversion with theory errors from 2-D Earth structure: implications for the 2009–2017 DPRK nuclear blasts J. Hu et al. https://doi.org/10.1093/gji/ggad348
44. Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion B. Dia et al. https://doi.org/10.1016/j.jcp.2024.113431
45. COMPOSTI: A Python-based program for seismic trans-dimensional inversion M. Niskanen & T. Lähivaara https://doi.org/10.1016/j.softx.2022.101298
46. A new database of source time functions (STFs) extracted from the SCARDEC method M. Vallée & V. Douet https://doi.org/10.1016/j.pepi.2016.05.012
47. Probabilistic waveform inversion for 22 earthquake moment tensors in Hungary: new constraints on the tectonic stress pattern inside the Pannonian basin Z. Wéber https://doi.org/10.1093/gji/ggv446
48. Probabilistic Moment Tensor Inversion for Hydrocarbon-Induced Seismicity in the Groningen Gas Field, The Netherlands, Part 1: Testing D. Kühn et al. https://doi.org/10.1785/0120200099
49. Subducted Lithosphere Under South America From Multifrequency P Wave Tomography A. Mohammadzaheri et al. https://doi.org/10.1029/2020JB020704