42 citations as recorded by crossref.

1. Insights Into Fault‐Magma Interactions in an Early‐Stage Continental Rift From Source Mechanisms and Correlated Volcano‐Tectonic Earthquakes S. Oliva et al. 10.1029/2018GL080866
2. The Marsquake Service: Securing Daily Analysis of SEIS Data and Building the Martian Seismicity Catalogue for InSight J. Clinton et al. 10.1007/s11214-018-0567-5
3. Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism D. Piras et al. 10.1093/gji/ggac385
4. Direct-seismogram inversion for receiver-side structure with uncertain source–time functions J. Dettmer et al. 10.1093/gji/ggv375
5. 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. 10.5194/se-12-1233-2021
6. Resolvability of the Centroid‐Moment‐Tensors for Shallow Seismic Sources and Improvements From Modeling High‐Frequency Waveforms B. Hejrani & H. Tkalčić 10.1029/2020JB019643
7. Accounting for theory errors with empirical Bayesian noise models in nonlinear centroid moment tensor estimation H. Vasyura-Bathke et al. 10.1093/gji/ggab034
8. Multifrequency measurements of core-diffractedPwaves (Pdiff) for global waveform tomography K. Hosseini & K. Sigloch 10.1093/gji/ggv298
9. Seismic moment tensors and estimated uncertainties in southern Alaska V. Silwal & C. Tape 10.1002/2015JB012588
10. 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. 10.1093/gji/ggab511
11. Waveform-based Bayesian full moment tensor inversion and uncertainty determination for the induced seismicity in an oil/gas field C. Gu et al. 10.1093/gji/ggx517
12. A nonlinear approach to assess network performance for moment-tensor studies of long-period signals in volcanic settings F. Lanza & G. Waite 10.1093/gji/ggy338
13. Instaseis: instant global seismograms based on a broadband waveform database M. van Driel et al. 10.5194/se-6-701-2015
14. Imaging anisotropic layering with Bayesian inversion of multiple data types T. Bodin et al. 10.1093/gji/ggw124
15. Accelerating Bayesian microseismic event location with deep learning A. Spurio Mancini et al. 10.5194/se-12-1683-2021
16. Bayesian estimation of non-linear centroid moment tensors using multiple seismic data sets M. Hamidbeygi et al. 10.1093/gji/ggad397
17. First Focal Mechanisms of Marsquakes N. Brinkman et al. 10.1029/2020JE006546
18. Preparing for InSight: Evaluation of the Blind Test for Martian Seismicity M. van Driel et al. 10.1785/0220180379
19. The Bayesian Earthquake Analysis Tool H. Vasyura-Bathke et al. 10.1785/0220190075
20. Full Moment Tensor Analysis of Nuclear Explosions in North Korea C. Alvizuri & C. Tape 10.1785/0220180158
21. Hamiltonian Monte Carlo Inversion of Seismic Sources in Complex Media A. Fichtner & S. Simutė 10.1002/2017JB015249
22. Bayesian ISOLA: new tool for automated centroid moment tensor inversion J. Vackář et al. 10.1093/gji/ggx158
23. Bayesian Seismic Source Inversion With a 3‐D Earth Model of the Japanese Islands S. Simutė et al. 10.1029/2022JB024231
24. Point source moment tensor inversion through a Bayesian hierarchical model M. Mustać & H. Tkalčić 10.1093/gji/ggv458
25. Estimation of Full Moment Tensors, Including Uncertainties, for Nuclear Explosions, Volcanic Events, and Earthquakes C. Alvizuri et al. 10.1029/2017JB015325
26. Solving probabilistic inverse problems rapidly with prior samples P. Käufl et al. 10.1093/gji/ggw108
27. On the robustness of seismic moment tensor inversions for mid-ocean earthquakes: the Azores archipelago M. Frietsch et al. 10.1093/gji/ggy294
28. Seismic moment tensor inversion with theory errors from 2-D Earth structure: implications for the 2009–2017 DPRK nuclear blasts J. Hu et al. 10.1093/gji/ggad348
29. Fully probabilistic seismic source inversion – Part 2: Modelling errors and station covariances S. Stähler & K. Sigloch 10.5194/se-7-1521-2016
30. COMPOSTI: A Python-based program for seismic trans-dimensional inversion M. Niskanen & T. Lähivaara 10.1016/j.softx.2022.101298
31. Fully probabilistic seismic source inversion – Part 1: Efficient parameterisation S. Stähler & K. Sigloch 10.5194/se-5-1055-2014
32. A new database of source time functions (STFs) extracted from the SCARDEC method M. Vallée & V. Douet 10.1016/j.pepi.2016.05.012
33. Strain-based forward modeling and inversion of seismic moment tensors using distributed acoustic sensing (DAS) observations J. Lecoulant et al. 10.3389/feart.2023.1176921
34. 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 10.1029/2021JB022477
35. Probabilistic waveform inversion for 22 earthquake moment tensors in Hungary: new constraints on the tectonic stress pattern inside the Pannonian basin Z. Wéber 10.1093/gji/ggv446
36. Probabilistic Moment Tensor Inversion for Hydrocarbon-Induced Seismicity in the Groningen Gas Field, The Netherlands, Part 1: Testing D. Kühn et al. 10.1785/0120200099
37. Subducted Lithosphere Under South America From Multifrequency P Wave Tomography A. Mohammadzaheri et al. 10.1029/2020JB020704
38. 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 10.1029/2019JB018492
39. Bayesian regional moment tensor from ocean bottom seismograms recorded in the Lesser Antilles: implications for regional stress field M. Lindner et al. 10.1093/gji/ggac494
40. On the Implications of A Priori Constraints in Transdimensional Bayesian Inversion for Continental Lithospheric Layering C. Roy & B. Romanowicz 10.1002/2017JB014968
41. Estimation of Seismic Moment Tensors Using Variational Inference Machine Learning A. Steinberg et al. 10.1029/2021JB022685
42. AxiSEM: broadband 3-D seismic wavefields in axisymmetric media T. Nissen-Meyer et al. 10.5194/se-5-425-2014