Guillaume Caumon

4.0k total citations
116 papers, 2.2k citations indexed

About

Guillaume Caumon is a scholar working on Geochemistry and Petrology, Geophysics and Ocean Engineering. According to data from OpenAlex, Guillaume Caumon has authored 116 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Geochemistry and Petrology, 47 papers in Geophysics and 44 papers in Ocean Engineering. Recurrent topics in Guillaume Caumon's work include Geological Modeling and Analysis (72 papers), Seismic Imaging and Inversion Techniques (42 papers) and Reservoir Engineering and Simulation Methods (40 papers). Guillaume Caumon is often cited by papers focused on Geological Modeling and Analysis (72 papers), Seismic Imaging and Inversion Techniques (42 papers) and Reservoir Engineering and Simulation Methods (40 papers). Guillaume Caumon collaborates with scholars based in France, United States and Australia. Guillaume Caumon's co-authors include Pauline Collon, Sophie Viseur, Bruno Lévy, Judith Sausse, Bruno Lévy, Gautier Laurent, Jef Caers, Xinming Wu, Mark Jessell and Satomi Suzuki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth and Planetary Science Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Guillaume Caumon

110 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guillaume Caumon France 26 1.3k 893 684 543 346 116 2.2k
Florian Wellmann Germany 21 806 0.6× 553 0.6× 480 0.7× 443 0.8× 259 0.7× 82 1.6k
Sebastien Strebelle United States 16 323 0.3× 356 0.4× 921 1.3× 338 0.6× 320 0.9× 29 1.8k
Julien Straubhaar Switzerland 19 267 0.2× 332 0.4× 569 0.8× 288 0.5× 188 0.5× 54 1.7k
Olivier Dubrule United Kingdom 17 196 0.2× 498 0.6× 713 1.0× 216 0.4× 316 0.9× 41 1.6k
Michael J. Pyrcz United States 23 202 0.2× 325 0.4× 746 1.1× 160 0.3× 431 1.2× 87 1.7k
Geoffrey C. Bohling United States 21 213 0.2× 789 0.9× 744 1.1× 289 0.5× 233 0.7× 55 2.3k
Satinder Chopra United States 26 154 0.1× 2.5k 2.8× 1.4k 2.1× 223 0.4× 1.1k 3.1× 165 3.0k
Xavier Emery Chile 26 243 0.2× 164 0.2× 444 0.6× 1.2k 2.2× 279 0.8× 172 2.5k
Thomas Mejer Hansen Denmark 22 122 0.1× 971 1.1× 858 1.3× 147 0.3× 171 0.5× 78 1.5k
Tuanfeng Zhang United States 11 174 0.1× 158 0.2× 314 0.5× 178 0.3× 138 0.4× 22 801

Countries citing papers authored by Guillaume Caumon

Since Specialization
Citations

This map shows the geographic impact of Guillaume Caumon'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 Guillaume Caumon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Caumon more than expected).

Fields of papers citing papers by Guillaume Caumon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillaume Caumon. 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 Guillaume Caumon. The network helps show where Guillaume Caumon may publish in the future.

Co-authorship network of co-authors of Guillaume Caumon

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Caumon. A scholar is included among the top collaborators of Guillaume Caumon 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 Guillaume Caumon. Guillaume Caumon 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.
Stoica, Radu S., et al.. (2024). From Fault Likelihood to Fault Networks: Stochastic Seismic Interpretation Through a Marked Point Process with Interactions. Mathematical Geosciences. 57(1). 115–151. 1 indexed citations
2.
Bistacchi, Andrea, et al.. (2024). 3D structural implicit modelling of folded metamorphic units at Lago di Cignana with uncertainty assessment. Journal of Structural Geology. 191. 105329–105329.
3.
Giraud, Jérémie, Mary Ford, Guillaume Caumon, et al.. (2024). Geologically constrained geometry inversion and null-space navigation to explore alternative geological scenarios: a case study in the Western Pyrenees. Geophysical Journal International. 239(3). 1359–1379. 2 indexed citations
4.
Giraud, Jérémie, Guillaume Caumon, Lachlan Grose, Vitaliy Ogarko, & Paul Cupillard. (2024). Integration of automatic implicit geological modelling in deterministic geophysical inversion. Solid Earth. 15(1). 63–89. 5 indexed citations
5.
Caumon, Guillaume, et al.. (2023). Towards a workflow to evaluate geological layering uncertainty on CO 2 injection simulation. SHILAP Revista de lepidopterología. 18. 100118–100118. 2 indexed citations
6.
Collon, Pauline, et al.. (2023). Stochastic velocity modeling for assessment of imaging uncertainty during seismic migration: Application to salt bodies. Interpretation. 11(2). T361–T378. 1 indexed citations
7.
Balarac, Guillaume, Francesco Basile, Pierre Bénard, et al.. (2022). Tetrahedral remeshing in the context of large-scale numerical simulation and high performance computing. HAL (Le Centre pour la Communication Scientifique Directe). 11(1). 129–164. 13 indexed citations
8.
Grose, Lachlan, Laurent Aillères, Gautier Laurent, et al.. (2021). Realistic modelling of faults in LoopStructural 1.0. 2 indexed citations
9.
Thore, P., et al.. (2020). Determination of a stress-dependent rock-physics model using anisotropic time-lapse tomographic inversion. Geophysics. 85(4). C141–C152. 1 indexed citations
10.
Thieulot, Cédric, et al.. (2020). Towards the application of Stokes flow equations to structural restoration simulations. Solid Earth. 11(5). 1909–1930. 8 indexed citations
11.
Wu, Xinming, Zhicheng Geng, Yunzhi Shi, et al.. (2019). Building realistic structure models to train convolutional neural networks for seismic structural interpretation. Geophysics. 85(4). WA27–WA39. 166 indexed citations
12.
Collon, Pauline, et al.. (2019). Generating variable shapes of salt geobodies from seismic images and prior geological knowledge. Interpretation. 7(4). T829–T841. 7 indexed citations
13.
Caumon, Guillaume, et al.. (2017). A parametric fault displacement model to introduce kinematic control into modeling faults from sparse data. Interpretation. 6(2). B1–B13. 18 indexed citations
14.
Lévy, Bruno, et al.. (2017). RINGMesh: A programming library for developing mesh-based geomodeling applications. Computers & Geosciences. 104. 93–100. 31 indexed citations
15.
Wu, Xinming & Guillaume Caumon. (2016). Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms. Geophysics. 82(1). IM13–IM20. 23 indexed citations
16.
Collon, Pauline, et al.. (2016). 3D modeling from outcrop data in a salt tectonic context: Example from the Inceyol minibasin, Sivas Basin, Turkey. Interpretation. 4(3). SM17–SM31. 11 indexed citations
17.
Caumon, Guillaume, et al.. (2016). Introduction to special section: Building complex and realistic geological models from sparse data. Interpretation. 4(3). SMi–SMi. 4 indexed citations
18.
Caumon, Guillaume, et al.. (2015). Impact of the en echelon fault connectivity on reservoir flow simulations. Interpretation. 3(4). SAC23–SAC34. 6 indexed citations
19.
Caumon, Guillaume, et al.. (2015). Semiautomatic interpretation of 3D sedimentological structures on geologic images: An object-based approach. Interpretation. 3(3). SX63–SX74. 7 indexed citations
20.
Lévy, Bruno, et al.. (2013). Automatic surface remeshing of 3D structural models at specified resolution: A method based on Voronoi diagrams. Computers & Geosciences. 62. 103–116. 37 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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