| Year |
Citation |
Score |
| 2021 |
Tidemand FG, Zunino A, Johansen NT, Hansen AF, Westh P, Mosegaard K, Arleth L. Semi-empirical Analysis of Complex ITC Data from Protein-Surfactant Interactions. Analytical Chemistry. PMID 34498849 DOI: 10.1021/acs.analchem.1c02558 |
0.716 |
|
| 2021 |
Khoshkholgh S, Zunino A, Mosegaard K. Informed proposal Monte Carlo Geophysical Journal International. 226: 1239-1248. DOI: 10.1093/gji/ggab173 |
0.752 |
|
| 2021 |
Ghirotto A, Zunino A, Armadillo E, Mosegaard K. Magnetic Anomalies Caused by 2D Polygonal Structures With Uniform Arbitrary Polarization: New Insights From Analytical/Numerical Comparison Among Available Algorithm Formulations Geophysical Research Letters. 48. DOI: 10.1029/2020GL091732 |
0.689 |
|
| 2019 |
Zunino A, Mosegaard K. An efficient method to solve large linearizable inverse problems under Gaussian and separability assumptions Computers & Geosciences. 122: 77-86. DOI: 10.1016/J.Cageo.2018.09.005 |
0.753 |
|
| 2018 |
Fernandes I, Mosegaard K, Zunino A. Statistical modeling for facies-dependent seismic inversion Seg Technical Program Expanded Abstracts. DOI: 10.1190/Segam2018-2997761.1 |
0.726 |
|
| 2018 |
Hansen TM, Vu LT, Mosegaard K, Cordua KS. Multiple point statistical simulation using uncertain (soft) conditional data Computers & Geosciences. 114: 1-10. DOI: 10.1016/J.Cageo.2018.01.017 |
0.425 |
|
| 2016 |
Cordua KS, Hansen TM, Gulbrandsen ML, Barnes C, Mosegaard K. Mixed‐point geostatistical simulation: A combination of two‐ and multiple‐point geostatistics Geophysical Research Letters. 43: 9030-9037. DOI: 10.1002/2016Gl070348 |
0.449 |
|
| 2015 |
Zunino A, Mosegaard K, Lange K, Melnikova Y, Hansen TM. Monte Carlo reservoir analysis combining seismic reflection data and informed priors Geophysics. 80. DOI: 10.1190/Geo2014-0052.1 |
0.769 |
|
| 2015 |
Hansen TM, Cordua KS, Mosegaard K. A General Probabilistic Approach for Inference of Gaussian Model Parameters from Noisy Data of Point and Volume Support Mathematical Geosciences. 47: 843-865. DOI: 10.1007/S11004-014-9567-5 |
0.507 |
|
| 2015 |
Melnikova Y, Zunino A, Lange K, Cordua KS, Mosegaard K. History Matching Through a Smooth Formulation of Multiple-Point Statistics Mathematical Geosciences. 47: 397-416. DOI: 10.1007/S11004-014-9537-Y |
0.748 |
|
| 2015 |
Cordua KS, Hansen TM, Mosegaard K. Improving the Pattern Reproducibility of Multiple-Point-Based Prior Models Using Frequency Matching Mathematical Geosciences. 47: 317-343. DOI: 10.1007/S11004-014-9531-4 |
0.481 |
|
| 2014 |
Hansen TM, Cordua KS, Jacobsen BH, Mosegaard K. Accounting for imperfect forward modeling in geophysical inverse problems — Exemplified for crosshole tomography Geophysics. 79. DOI: 10.1190/Geo2013-0215.1 |
0.692 |
|
| 2013 |
Fournier A, Mosegaard K, Omre H, Sambridge M, Tenorio L. Assessing uncertainty in geophysical problems - introduction Geophysics. 78. DOI: 10.1190/Geo2013-0425-Spsein.1 |
0.39 |
|
| 2013 |
Khan A, Pommier A, Neumann GA, Mosegaard K. The lunar moho and the internal structure of the Moon: A geophysical perspective Tectonophysics. 609: 331-352. DOI: 10.1016/J.Tecto.2013.02.024 |
0.387 |
|
| 2013 |
Hansen TM, Cordua KS, Looms MC, Mosegaard K. SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information: Part 2—Application to crosshole GPR tomography Computers & Geosciences. 52: 481-492. DOI: 10.1016/J.Cageo.2012.10.001 |
0.503 |
|
| 2013 |
Hansen TM, Cordua KS, Looms MC, Mosegaard K. SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information Computers & Geosciences. 52: 470-480. DOI: 10.1016/J.Cageo.2012.09.004 |
0.526 |
|
| 2012 |
Cordua KS, Hansen TM, Lange K, Frydendall J, Mosegaard K. Improving Multiple-Point-Based a Priori Models for Inverse Problems by Combining Sequential Simulation With the Frequency Matching Method Seg Technical Program Expanded Abstracts. DOI: 10.1190/Segam2012-1002.1 |
0.448 |
|
| 2012 |
Cordua KS, Hansen TM, Mosegaard K. Monte Carlo full-waveform inversion of crosshole GPR data using multiple-point geostatistical a priori information Geophysics. 77. DOI: 10.1190/Geo2011-0170.1 |
0.515 |
|
| 2012 |
Lange K, Frydendall J, Cordua KS, Hansen TM, Melnikova Y, Mosegaard K. A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information Mathematical Geosciences. 44: 783-803. DOI: 10.1007/S11004-012-9417-2 |
0.511 |
|
| 2012 |
Hansen TM, Cordua KS, Mosegaard K. Inverse problems with non-trivial priors: efficient solution through sequential Gibbs sampling Computational Geosciences. 16: 593-611. DOI: 10.1007/S10596-011-9271-1 |
0.538 |
|
| 2011 |
Mosegaard K. Quest for consistency, symmetry, and simplicity — The legacy of Albert Tarantola Geophysics. 76. DOI: 10.1190/Geo2010-0328.1 |
0.311 |
|
| 2011 |
Hansen TM, Mosegaard K. Corrigendum: Corrigendum to VISIM: Sequential simulation for linear inverse problems [Comput. Geosci. 34(1) (2008) 53-76] Computers & Geosciences. 37: 973-974. DOI: 10.1016/J.Cageo.2009.09.021 |
0.353 |
|
| 2010 |
Cordua KS, Hansen TM, Mosegaard K. Monte Carlo full waveform inversion of tomographic crosshole data using complex geostatistical a priori information Seg Technical Program Expanded Abstracts. DOI: 10.1190/1.3513766 |
0.372 |
|
| 2010 |
Hansen TM, Mosegaard K, Schiøtt C. Kriging interpolation in seismic attribute space applied to the South Arne Field, North Sea Geophysics. 75: 31-41. DOI: 10.1190/1.3494280 |
0.389 |
|
| 2008 |
Hansen TM, Mosegaard K, Pedersen-Tatalovic R, Uldall A, Jacobsen NL. Attribute-guided well-log interpolation applied to low-frequency impedance estimation Geophysics. 73. DOI: 10.1190/1.2996302 |
0.401 |
|
| 2008 |
Pedersen-Tatalovic R, Uldall A, Jacobsen NL, Hansen TM, Mosegaard K. Event-based low-frequency impedance modeling using well logs and seismic attributes Leading Edge (Tulsa, Ok). 27: 592-603. DOI: 10.1190/1.2919576 |
0.35 |
|
| 2008 |
Hansen TM, Mosegaard K. VISIM: Sequential simulation for linear inverse problems Computers & Geosciences. 34: 53-76. DOI: 10.1016/J.Cageo.2007.02.003 |
0.488 |
|
| 2007 |
Khan A, Connolly JAD, Maclennan J, Mosegaard K. Joint inversion of seismic and gravity data for lunar composition and thermal state Geophysical Journal International. 168: 243-258. DOI: 10.1111/J.1365-246X.2006.03200.X |
0.366 |
|
| 2006 |
Hansen TM, Journel AG, Tarantola A, Mosegaard K. Linear inverse Gaussian theory and geostatistics Geophysics. 71. DOI: 10.1190/1.2345195 |
0.676 |
|
| 2006 |
Voss P, Mosegaard K, Gregersen S, Pedersen LB, Roberts RG, Shomali H, Berthelsen A, Thybo H, Pedersen T, Kind R, Bock G, Gossler J, Wylegala K, Rabbel W, Woelbern I, et al. The Tornquist Zone, a north east inclining lithospheric transition at the south western margin of the Baltic Shield: Revealed through a nonlinear teleseismic tomographic inversion Tectonophysics. 416: 151-166. DOI: 10.1016/J.Tecto.2005.11.016 |
0.361 |
|
| 2006 |
Khan A, Connolly JAD, Olsen N, Mosegaard K. Constraining the composition and thermal state of the moon from an inversion of electromagnetic lunar day-side transfer functions Earth and Planetary Science Letters. 248: 579-598. DOI: 10.1016/J.Epsl.2006.04.008 |
0.325 |
|
| 2005 |
Khan A, Mosegaard K. Further constraints on the deep lunar interior Geophysical Research Letters. 32. DOI: 10.1029/2005Gl023985 |
0.326 |
|
| 2004 |
Darbyshire FA, Larsen TB, Mosegaard K, Dahl‐Jensen T, Gudmundsson Ó, Bach T, Gregersen S, Pedersen HA, Hanka W. A first detailed look at the Greenland lithosphere and upper mantle, using Rayleigh wave tomography Geophysical Journal International. 158: 267-286. DOI: 10.1111/J.1365-246X.2004.02316.X |
0.308 |
|
| 2004 |
Khan A, Mosegaard K, Williams JG, Lognonné P. Does the Moon possess a molten core? Probing the deep lunar interior using results from LLR and Lunar Prospector Journal of Geophysical Research. 109. DOI: 10.1029/2004Je002294 |
0.376 |
|
| 2002 |
Mosegaard K, Sambridge M. Monte Carlo analysis of inverse problems Inverse Problems. 18. DOI: 10.1088/0266-5611/18/3/201 |
0.484 |
|
| 2002 |
Khan A, Mosegaard K. An inquiry into the lunar interior: A nonlinear inversion of the Apollo lunar seismic data Journal of Geophysical Research. 107. DOI: 10.1029/2001Je001658 |
0.485 |
|
| 2002 |
Sambridge M, Mosegaard K. Monte Carlo Methods In Geophysical Inverse Problems Reviews of Geophysics. 40. DOI: 10.1029/2000Rg000089 |
0.441 |
|
| 2002 |
Mosegaard K, Tarantola A. Probabilistic Approach to Inverse Problems International Geophysics. 81: 237-265. DOI: 10.1016/S0074-6142(02)80219-4 |
0.668 |
|
| 2000 |
Khan A, Mosegaard K, Rasmussen KL. A new seismic velocity model for the Moon from a Monte Carlo inversion of the Apollo lunar seismic data Geophysical Research Letters. 27: 1591-1594. DOI: 10.1029/1999Gl008452 |
0.343 |
|
| 1999 |
Mosegaard K, Rygaard-Hjalsted C. Probabilistic analysis of implicit inverse problems Inverse Problems. 15: 573-583. DOI: 10.1088/0266-5611/15/2/015 |
0.546 |
|
| 1998 |
Mosegaard K. Resolution analysis of general inverse problems through inverse Monte Carlo sampling Inverse Problems. 14: 405-426. DOI: 10.1088/0266-5611/14/3/004 |
0.559 |
|
| 1997 |
Mosegaard K, Singh S, Snyder D, Wagner H. Monte Carlo analysis of seismic reflections from Moho and the W reflector Journal of Geophysical Research. 102: 2969-2981. DOI: 10.1029/96Jb02566 |
0.387 |
|
| 1996 |
Vinther R, Mosegaard K. Seismic inversion through Tabu Search1 Geophysical Prospecting. 44: 555-570. DOI: 10.1111/J.1365-2478.1996.Tb00165.X |
0.423 |
|
| 1996 |
Hansen PC, Mosegaard K. Piecewise Polynomial Solutions Without a priori Break Points Numerical Linear Algebra With Applications. 3: 513-524. DOI: 10.1002/(Sici)1099-1506(199611/12)3:6<513::Aid-Nla93>3.0.Co;2-4 |
0.355 |
|
| 1995 |
Vinther R, Mosegaard K, Kierkegaard K, Abatzis I, Andersen C, Vejbaek OV, If F, Nielsen PH. Seismic Texture Classification: A Computer-aided Approach to Stratigraphic Analysis Seg Technical Program Expanded Abstracts. 153-155. DOI: 10.1190/1.1887260 |
0.388 |
|
| 1995 |
Mosegaard K, Tarantola A. Monte Carlo sampling of solutions to inverse problems Journal of Geophysical Research. 100: 12431-12447. DOI: 10.1029/94Jb03097 |
0.693 |
|
| 1993 |
Nørmark E, Mosegaard K. Residual statics estimation: scaling temperature schedules using simulated annealing Geophysical Prospecting. 41: 565-578. DOI: 10.1111/J.1365-2478.1993.Tb00871.X |
0.438 |
|
| 1991 |
Mosegaard K, Tarantola A. Monte Carlo Analysis of Geophysical Inverse Problems Seg Technical Program Expanded Abstracts. 940-940. DOI: 10.1190/1.1888770 |
0.689 |
|
| 1991 |
Vestergaard PD, Mosegaard K. Inversion Of Post-Stack Seismic Data Using Simulated Annealing1 Geophysical Prospecting. 39: 613-624. DOI: 10.1111/J.1365-2478.1991.Tb00332.X |
0.488 |
|
| 1991 |
Mosegaard K, Vestergaard PD. A Simulated Annealing Approach To Seismic Model Optimization With Sparse Prior Information Geophysical Prospecting. 39: 599-611. DOI: 10.1111/J.1365-2478.1991.Tb00331.X |
0.456 |
|
| 1991 |
Koren Z, Mosegaard K, Landa E, Thore P, Tarantola A. Monte Carlo estimation and resolution analysis of seismic background velocities Journal of Geophysical Research. 96: 20289-20299. DOI: 10.1029/91Jb02278 |
0.68 |
|
| 1990 |
Tarantola A, Craset E, Jervis M, Konen Z, Lindgren J, Mosegaard K, Noble M. Nonlinear Inversion of Seismograms: State of the Art Seg Technical Program Expanded Abstracts. DOI: 10.1190/1.1889948 |
0.537 |
|
| 1989 |
Tarantola A, Beydoun W, Cao D, Crase E, Koren Z, Mendes M, Mora P, Mosegaard K, Noble M, Singh S, Trezeguet D. Present Know-How And Difficulties In Elastic Nonlinear Inversion of Seismograms Seg Technical Program Expanded Abstracts. DOI: 10.1190/1.1889837 |
0.509 |
|
| 1988 |
Andresen B, Hoffmann KH, Mosegaard K, Nulton J, Pedersen JM, Salamon P. On lumped models for thermodynamic properties of simulated annealing problems Journal De Physique. 49: 1485-1492. DOI: 10.1051/Jphys:019880049090148500 |
0.326 |
|
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