Geoffroy Mohn

3.6k total citations
58 papers, 2.6k citations indexed

About

Geoffroy Mohn is a scholar working on Geophysics, Geology and Earth-Surface Processes. According to data from OpenAlex, Geoffroy Mohn has authored 58 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Geophysics, 12 papers in Geology and 10 papers in Earth-Surface Processes. Recurrent topics in Geoffroy Mohn's work include Geological and Geochemical Analysis (41 papers), earthquake and tectonic studies (39 papers) and Geological and Geophysical Studies Worldwide (20 papers). Geoffroy Mohn is often cited by papers focused on Geological and Geochemical Analysis (41 papers), earthquake and tectonic studies (39 papers) and Geological and Geophysical Studies Worldwide (20 papers). Geoffroy Mohn collaborates with scholars based in France, United Kingdom and Switzerland. Geoffroy Mohn's co-authors include Giänreto Manatschal, Emmanuel Masini, Julie Tugend, Marco Beltrando, Nick Kusznir, Patrick Unternehr, Othmar Müntener, G. Manatschal, Dominique Frizon de Lamotte and Emilie Sutra and has published in prestigious journals such as Scientific Reports, Earth and Planetary Science Letters and Geology.

In The Last Decade

Geoffroy Mohn

58 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geoffroy Mohn France 28 2.2k 531 523 288 258 58 2.6k
Jean‐Claude Ringenbach France 28 1.9k 0.9× 634 1.2× 594 1.1× 288 1.0× 392 1.5× 66 2.4k
Emmanuel Masini France 25 2.5k 1.1× 347 0.7× 627 1.2× 348 1.2× 232 0.9× 52 2.8k
Thierry Nalpas France 25 1.6k 0.7× 300 0.6× 662 1.3× 336 1.2× 336 1.3× 52 2.0k
Per Terje Osmundsen Norway 28 1.7k 0.8× 700 1.3× 412 0.8× 273 0.9× 465 1.8× 50 2.1k
D. J. Shillington United States 31 2.2k 1.0× 614 1.2× 289 0.6× 181 0.6× 226 0.9× 114 2.5k
Douglas Paton United Kingdom 21 1.0k 0.5× 662 1.2× 562 1.1× 233 0.8× 442 1.7× 68 1.6k
Michal Němčok United States 25 1.7k 0.8× 391 0.7× 411 0.8× 274 1.0× 300 1.2× 64 2.0k
Maryline Moulin France 20 1.3k 0.6× 754 1.4× 783 1.5× 252 0.9× 243 0.9× 60 1.8k
A. Guterch Poland 35 2.8k 1.3× 306 0.6× 312 0.6× 193 0.7× 318 1.2× 77 3.0k
Jonathan P. Turner United Kingdom 21 1.1k 0.5× 503 0.9× 465 0.9× 376 1.3× 445 1.7× 44 1.5k

Countries citing papers authored by Geoffroy Mohn

Since Specialization
Citations

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

Fields of papers citing papers by Geoffroy Mohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffroy Mohn

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffroy Mohn. A scholar is included among the top collaborators of Geoffroy Mohn 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 Geoffroy Mohn. Geoffroy Mohn 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.
Faleide, Jan Inge, et al.. (2024). Deep basin conductor characterization using machine learning-assisted magnetotelluric Bayesian inversion in the SW Barents Sea. Geophysical Journal International. 238(1). 420–432. 1 indexed citations
2.
3.
Tugend, Julie, et al.. (2024). Extension of continental lithosphere in rifted margins: a review of thinning mechanisms. Comptes Rendus Géoscience. 356(S2). 331–365. 2 indexed citations
4.
Gernigon, Laurent, Jochen Knies, Roelant van der Lelij, et al.. (2024). Understanding volcanic margin evolution through the lens of Norway's youngest granite. Terra Nova. 36(4). 250–257. 2 indexed citations
5.
Brune, Sascha, et al.. (2024). From Orogeny to Rifting: The Role of Inherited Structures During the Formation of the South China Sea. Journal of Geophysical Research Solid Earth. 129(12). 2 indexed citations
6.
Tugend, Julie, et al.. (2024). Crustal Structure of the Northeast South China Sea Rifted Margin. Tectonics. 43(8). 2 indexed citations
7.
8.
Ding, Weiwei, Zhen Sun, Geoffroy Mohn, et al.. (2019). Lateral evolution of the rift-to-drift transition in the South China Sea: Evidence from multi-channel seismic data and IODP Expeditions 367&368 drilling results. Earth and Planetary Science Letters. 531. 115932–115932. 93 indexed citations
9.
10.
Nirrengarten, M.F.R., et al.. (2019). The thermal imprint of continental breakup during the formation of the South China Sea. Earth and Planetary Science Letters. 531. 115972–115972. 27 indexed citations
11.
Ding, Weiwei, Zhen Sun, Geoffroy Mohn, et al.. (2019). Lateral evolution of the rift-to-drift transition in the South China Sea: Evidence from multi-channel seismic data and IODP Expeditions 367&368 drilling results. EGU General Assembly Conference Abstracts. 2413. 7 indexed citations
12.
Sun, Zheng, Jian Zhang, Joann M. Stock, et al.. (2018). Proceedings of the International Ocean Discovery Program: South China Sea Rifted Margin. SPIRE - Sciences Po Institutional REpository. 33 indexed citations
13.
Kergaravat, Charlie, Charlotte Ribes, Jean‐Paul Callot, et al.. (2018). Geology of the Central Sivas Basin (Turkey). Journal of Maps. 15(2). 406–417. 28 indexed citations
14.
Mohn, Geoffroy, et al.. (2017). Extreme Mesozoic crustal thinning in the Eastern Iberia margin: The example of the Columbrets Basin (Valencia Trough). AGUFM. 2017. 1 indexed citations
15.
Duretz, Thibault, Benoît Petri, Geoffroy Mohn, et al.. (2016). The importance of structural softening for the evolution and architecture of passive margins. Scientific Reports. 6(1). 38704–38704. 71 indexed citations
16.
Mohn, Geoffroy, Garry D. Karner, Giänreto Manatschal, & Christopher Johnson. (2014). Structural and stratigraphic evolution of the Iberia and Newfoundland hyper-extended rifted margins: A quantitative modeling approach. EGU General Assembly Conference Abstracts. 9156. 5 indexed citations
17.
Mohn, Geoffroy, et al.. (2014). The role of rift‐inherited hyper‐extension in Alpine‐type orogens. Terra Nova. 26(5). 347–353. 73 indexed citations
18.
Manatschal, Giänreto, Geoffroy Mohn, Emmanuel Masini, et al.. (2012). From Post-Orogenic Collapse to Continental Breakup: Evolution and Fate of the Alpine Tethys and Atlantic Rift Systems in Western Europe. AGU Fall Meeting Abstracts. 2012. 1 indexed citations
19.
Mohn, Geoffroy, G. Manatschal, Marco Beltrando, Emmanuel Masini, & Nick Kusznir. (2012). Necking of continental crust in magma‐poor rifted margins: Evidence from the fossil Alpine Tethys margins. Tectonics. 31(1). 203 indexed citations
20.
Mohn, Geoffroy, Giänreto Manatschal, Emmanuel Masini, et al.. (2010). How does the continental crust thin during rifting in magma-poor rifted margins: evidence from the Bernina/Campo/Grosina units in the Central Alps (SE-Switzerland and N-Italy). AGUFM. 2010. 1 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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