Klaus Mosegaard

7.4k total citations · 4 hit papers
94 papers, 5.2k citations indexed

About

Klaus Mosegaard is a scholar working on Geophysics, Ocean Engineering and Environmental Engineering. According to data from OpenAlex, Klaus Mosegaard has authored 94 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Geophysics, 38 papers in Ocean Engineering and 15 papers in Environmental Engineering. Recurrent topics in Klaus Mosegaard's work include Seismic Imaging and Inversion Techniques (45 papers), Reservoir Engineering and Simulation Methods (27 papers) and Geophysical and Geoelectrical Methods (14 papers). Klaus Mosegaard is often cited by papers focused on Seismic Imaging and Inversion Techniques (45 papers), Reservoir Engineering and Simulation Methods (27 papers) and Geophysical and Geoelectrical Methods (14 papers). Klaus Mosegaard collaborates with scholars based in Denmark, United States and France. Klaus Mosegaard's co-authors include Albert Tarantola, Malcolm Sambridge, Thomas Mejer Hansen, A. Khan, Knud Skou Cordua, N. Gundestrup, Niels Balling, S. J. Johnsen, Gary D. Clow and A. W. Hansen and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Klaus Mosegaard

94 papers receiving 5.0k citations

Hit Papers

Monte Carlo sampling of s... 1995 2026 2005 2015 1995 1998 2002 2014 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Klaus Mosegaard 2.7k 1.3k 1.2k 601 499 94 5.2k
William Menke 5.0k 1.9× 1.0k 0.8× 511 0.4× 193 0.3× 239 0.5× 125 6.2k
Alan D. Chave 4.7k 1.7× 1.9k 1.5× 251 0.2× 207 0.3× 191 0.4× 145 6.4k
Bernard Valette 2.7k 1.0× 650 0.5× 289 0.2× 741 1.2× 153 0.3× 33 4.1k
Malcolm Sambridge 9.2k 3.4× 2.3k 1.8× 2.2k 1.8× 146 0.2× 542 1.1× 166 13.5k
Duncan Carr Agnew 3.6k 1.3× 452 0.3× 376 0.3× 292 0.5× 201 0.4× 115 5.0k
Tadeusz J. Ulrych 2.8k 1.1× 1.3k 1.0× 125 0.1× 111 0.2× 451 0.9× 117 4.2k
Jonathan M. Lees 3.6k 1.3× 392 0.3× 1.2k 1.0× 127 0.2× 98 0.2× 126 6.2k
E. Boschi 8.9k 3.3× 429 0.3× 1.8k 1.6× 243 0.4× 779 1.6× 281 14.0k
George Backus 2.0k 0.7× 520 0.4× 323 0.3× 524 0.9× 163 0.3× 40 3.8k
Mark Pilkington 4.0k 1.5× 1.5k 1.1× 1.1k 0.9× 1.1k 1.9× 168 0.3× 108 5.2k

Countries citing papers authored by Klaus Mosegaard

Since Specialization
Citations

This map shows the geographic impact of Klaus Mosegaard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Klaus Mosegaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Mosegaard more than expected).

Fields of papers citing papers by Klaus Mosegaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus Mosegaard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Klaus Mosegaard. The network helps show where Klaus Mosegaard may publish in the future.

Co-authorship network of co-authors of Klaus Mosegaard

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Mosegaard. A scholar is included among the top collaborators of Klaus Mosegaard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Klaus Mosegaard. Klaus Mosegaard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Feng, Runhai, Klaus Mosegaard, Tapan Mukerji, & Darío Graña. (2024). Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods. Mathematical Geosciences. 56(6). 1161–1184. 4 indexed citations
2.
Durán, Cecilia, Amir Khan, Klaus Mosegaard, et al.. (2024). Searching the InSight Seismic Data for Mars’s Background-Free Oscillations. Seismological Research Letters. 96(1). 377–393. 1 indexed citations
3.
Joshi, Rakshit, Brigitte Knapmeyer‐Endrun, Klaus Mosegaard, et al.. (2023). Joint Inversion of Receiver Functions and Apparent Incidence Angles to Determine the Crustal Structure of Mars. Geophysical Research Letters. 50(3). 15 indexed citations
4.
Graña, Darío, et al.. (2023). Markov chain Monte Carlo for seismic facies classification. Geophysics. 88(3). M131–M143. 10 indexed citations
5.
Mosegaard, Klaus, et al.. (2023). Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data. Interpretation. 11(2). T339–T347. 1 indexed citations
6.
Zunino, Andrea, et al.. (2022). Full-waveform inversion by informed-proposal Monte Carlo. Geophysical Journal International. 230(3). 1824–1833. 9 indexed citations
7.
Nielsen, Lars, et al.. (2022). Mapping Cretaceous faults using a convolutional neural network – A field example from the Danish North Sea. Bulletin of the Geological Society of Denmark. 71. 31–50. 3 indexed citations
8.
Graña, Darío, et al.. (2021). Markov chain Monte Carlo for petrophysical inversion. Geophysics. 87(1). M13–M24. 11 indexed citations
10.
Zunino, Andrea, et al.. (2021). Semi-empirical Analysis of Complex ITC Data from Protein–Surfactant Interactions. Analytical Chemistry. 93(37). 12698–12706. 7 indexed citations
11.
Hansen, Thomas Mejer, Knud Skou Cordua, Bo Holm Jacobsen, & Klaus Mosegaard. (2014). Accounting for imperfect forward modeling in geophysical inverse problems — Exemplified for crosshole tomography. Geophysics. 79(3). H1–H21. 65 indexed citations
12.
Zunino, Andrea, et al.. (2014). Monte Carlo reservoir analysis combining seismic reflection data and informed priors. Geophysics. 80(1). R31–R41. 39 indexed citations
13.
Fournier, A., Klaus Mosegaard, Henning Omre, Malcolm Sambridge, & Luis Tenorio. (2013). Assessing uncertainty in geophysical problems — Introduction. Geophysics. 78(3). WB1–WB2. 3 indexed citations
14.
Hansen, Thomas Mejer, et al.. (2010). Kriging interpolation in seismic attribute space applied to the South Arne Field, North Sea. Geophysics. 75(6). P31–P41. 15 indexed citations
15.
Hansen, Thomas Mejer, et al.. (2008). Attribute-guided well-log interpolation applied to low-frequency impedance estimation. Geophysics. 73(6). R83–R95. 31 indexed citations
16.
Dahl‐Jensen, Dorthe, Klaus Mosegaard, Prasad Gogineni, & Hubert Miller. (2003). Rapid Spatial Variations of the Geothermal Heat Flow measured on the Greenland Ice Sheet. EGS - AGU - EUG Joint Assembly. 11264. 1 indexed citations
17.
Khan, Azam & Klaus Mosegaard. (2002). Investigating the Lunar Velocity Structure Using Bayesian Statistics. Lunar and Planetary Science Conference. 1548. 1 indexed citations
18.
Khan, A. M. & Klaus Mosegaard. (2000). Preliminary Results from a Study of the Free Oscillation Periods of the Moon. Lunar and Planetary Science Conference. 1343. 1 indexed citations
19.
Khan, Amir, Klaus Mosegaard, & Kaare Lund Rasmussen. (1999). A Reassessment of the Apollo Lunar Seismic Data and the Lunar Interior. Lunar and Planetary Science Conference. 1259. 1 indexed citations
20.
Jacobsen, Bo Holm, Klaus Mosegaard, & Paolo Sibani. (1996). Inverse Methods: Interdisciplinary Elements of Methodology, Computation, and Applications. Springer eBooks. 63. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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