Tarje Nissen‐Meyer

Author

Tarje Nissen‐Meyer

Also Known As

Nissen-Meyer T, Nissen-Meyer, T., Nissen-Meyer, Tarje, T Nissen-Meyer, T. Nissen-Meyer, T. Nissen‐Meyer, Tarje Nissen-Meyer, Tarje Nissen‐Meyer

174

Publications

3.6K

Citations

H-Index

Concepts

All Affiliations

University of Oxford ETH Zurich Centre National de la Recherche Scientifique Princeton University Planetary Science Institute

About

Tarje Nissen‐Meyer is an author at University of Oxford specializing in engineering, seismology, and geophysics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	23	32	1.9K
2	Applied Physics	5	5	174
3	Civil Engineering	5	5	330
4	Natural Sciences	4	4	156
5	Computer Engineering	4	4	258

Tarje Nissen‐Meyer

Publications

3.4K

Citations

H-Index

Page 1

	Year	Citations
Forward and adjoint simulations of seismic wave propagation on fully unstructured hexahedral meshes Daniel Peter, Dimitri Komatitsch, Yang Luo, Geophysical Journal International	2011	344
Constraints on the shallow elastic and anelastic structure of Mars from InSight seismic data Philippe Lognonné, W. B. Banerdt, W. T. Pike, Nature Geoscience	2020	300
AxiSEM: broadband 3-D seismic wavefields in axisymmetric media Tarje Nissen‐Meyer, Martin van Driel, Simon C. Stähler, Solid Earth GeophysicsEarthquake EngineeringNormal ModesEngineeringSeismic Wave	2014	283
Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations Ben Moseley, Andrew Markham, Tarje Nissen‐Meyer Advances in Computational Mathematics	2023	267
<i>Savani</i>: A variable resolution whole‐mantle model of anisotropic shear velocity variations based on multiple data sets L. M. Auer, Lapo Boschi, T. W. Becker, Journal of Geophysical Research Solid Earth GeophysicsTomographic ModelMultiple Data SetsEngineeringMantle Dynamic	2014	257
Global mantle structure from multifrequency tomography using P, PP and P-diffracted waves Kasra Hosseini, Karin Sigloch, Maria Tsekhmistrenko, Geophysical Journal International EngineeringPdiff DataSeismic WaveMantle DynamicEarth System Science	2019	164
Instaseis: instant global seismograms based on a broadband waveform database Martin van Driel, Lion Krischer, Simon C. Stähler, Solid Earth Numerical AnalysisEngineeringSeismic WaveGeophysical Signal ProcessingGeophysics	2015	163
Dynamic earthquake rupture modelled with an unstructured 3-D spectral element method applied to the 2011 M9 Tohoku earthquake Percy Galvez, Jean‐Paul Ampuero, L. A. Dalguer, Geophysical Journal International M9 Tohoku EarthquakeDynamic Earthquake RuptureEngineeringMechanical EngineeringEarthquake Scenario	2014	132
Solving the wave equation with physics-informed deep learning Ben Moseley, Andrew Markham, Tarje Nissen‐Meyer arXiv (Cornell University) Geometric LearningDeep Neural NetworksEngineeringMachine LearningPhysics	2020	112
Deep learning for fast simulation of seismic waves in complex media Ben Moseley, Tarje Nissen‐Meyer, Andrew Markham Solid Earth Convolutional Neural NetworkEngineeringMachine LearningSeismic WaveAutoencoders	2020	105

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