O. de Viron

2.7k total citations
102 papers, 1.9k citations indexed

About

O. de Viron is a scholar working on Oceanography, Astronomy and Astrophysics and Molecular Biology. According to data from OpenAlex, O. de Viron has authored 102 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Oceanography, 39 papers in Astronomy and Astrophysics and 32 papers in Molecular Biology. Recurrent topics in O. de Viron's work include Geophysics and Gravity Measurements (69 papers), Geomagnetism and Paleomagnetism Studies (32 papers) and Solar and Space Plasma Dynamics (23 papers). O. de Viron is often cited by papers focused on Geophysics and Gravity Measurements (69 papers), Geomagnetism and Paleomagnetism Studies (32 papers) and Solar and Space Plasma Dynamics (23 papers). O. de Viron collaborates with scholars based in France, Belgium and United States. O. de Viron's co-authors include Michel Van Camp, R. Holme, J. O. Dickey, V. Dehant, M. Diament, S. L. Marcus, Isabelle Panet, Bruno Meurers, Arnaud Watlet and В. О. Михайлов and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

O. de Viron

95 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
O. de Viron France 24 1.2k 610 585 565 454 102 1.9k
S. Kenyon United States 13 1.8k 1.4× 441 0.7× 642 1.1× 840 1.5× 964 2.1× 31 2.6k
Franz Barthelmes Germany 20 1.3k 1.1× 432 0.7× 648 1.1× 557 1.0× 660 1.5× 48 1.8k
J. Hinderer France 28 1.7k 1.4× 517 0.8× 680 1.2× 1.0k 1.8× 563 1.2× 83 2.2k
Maik Thomas Germany 24 1.3k 1.1× 454 0.7× 559 1.0× 343 0.6× 397 0.9× 97 2.0k
Minkang Cheng United States 18 2.3k 1.8× 916 1.5× 783 1.3× 617 1.1× 1.3k 2.8× 40 2.8k
R. Klees Netherlands 27 1.7k 1.4× 433 0.7× 652 1.1× 454 0.8× 1.0k 2.3× 101 2.3k
Jean‐Michel Lemoine France 23 2.1k 1.7× 898 1.5× 777 1.3× 545 1.0× 1.0k 2.3× 71 2.6k
Jacques Hinderer France 27 1.4k 1.1× 318 0.5× 450 0.8× 931 1.6× 439 1.0× 89 1.9k
Jean‐Paul Boy France 30 2.0k 1.6× 597 1.0× 533 0.9× 834 1.5× 1.0k 2.2× 106 2.6k
Nikolaos K. Pavlis United States 16 2.5k 2.0× 678 1.1× 898 1.5× 1.0k 1.9× 1.3k 2.8× 32 3.5k

Countries citing papers authored by O. de Viron

Since Specialization
Citations

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

Fields of papers citing papers by O. de Viron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by O. de Viron. 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 O. de Viron. The network helps show where O. de Viron may publish in the future.

Co-authorship network of co-authors of O. de Viron

This figure shows the co-authorship network connecting the top 25 collaborators of O. de Viron. A scholar is included among the top collaborators of O. de Viron 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 O. de Viron. O. de Viron 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.
Delforge, Damien, et al.. (2025). SSALib: a Python Library for Time Series Decomposition using Singular Spectrum Analysis. The Journal of Open Source Software. 10(115). 8600–8600.
2.
Martins, Kévin, Katherine Brodie, Julia W. Fiedler, et al.. (2025). Seamless nearshore topo-bathymetry reconstruction from lidar scanners: A Proof-of-Concept based on a dedicated field experiment at Duck, NC. Coastal Engineering. 199. 104748–104748.
3.
Viron, O. de, et al.. (2023). Earth's core variability from magnetic and gravity field observations. Solid Earth. 14(12). 1267–1287. 4 indexed citations
4.
Camp, Michel Van, et al.. (2022). Extreme Hydrometeorological Events, a Challenge for Gravimetric and Seismology Networks. Earth s Future. 10(4). 3 indexed citations
5.
Delforge, Damien, O. de Viron, Marnik Vanclooster, Michel Van Camp, & Arnaud Watlet. (2022). Detecting hydrological connectivity using causal inference from time series: synthetic and real karstic case studies. Hydrology and earth system sciences. 26(8). 2181–2199. 19 indexed citations
6.
Durand, Fabien, et al.. (2021). Madden-Julian oscillation winds excite an intraseasonal see-saw of ocean mass that affects Earth’s polar motion. Communications Earth & Environment. 2(1). 11 indexed citations
7.
Viron, O. de, et al.. (2021). Comparing global seismic tomography models using varimax principal component analysis. Solid Earth. 12(7). 1601–1634. 6 indexed citations
8.
Delforge, Damien, O. de Viron, Marnik Vanclooster, Michel Van Camp, & Arnaud Watlet. (2021). Detecting hydrological connectivity using causal inference from time-series: synthetic and real karstic study cases. 1 indexed citations
9.
Lambert, S., S. L. Marcus, & O. de Viron. (2017). Atmospheric torques and Earth's rotation: what drove the millisecond-level length-of-day response to the 2015–2016 El Niño?. Earth System Dynamics. 8(4). 1009–1017. 3 indexed citations
10.
Camp, Michel Van, et al.. (2016). Direct measurement of evapotranspiration from a forest using a superconducting gravimeter. Geophysical Research Letters. 43(19). 22 indexed citations
11.
Holme, R. & O. de Viron. (2013). Characterization and implications of intradecadal variations in length of day. Nature. 499(7457). 202–204. 112 indexed citations
12.
Ballu, Valérie, O. de Viron, Wayne C. Crawford, Mathilde Cannat, & J. Escartı́n. (2012). Long-term observations of seafloor pressure variations at Lucky Strike volcano, Mid-Atlantic Ridge. AGUFM. 2012. 2 indexed citations
13.
Camp, Michel Van, Laurent Métivier, O. de Viron, Bruno Meurers, & Simon Williams. (2010). Characterizing long‐time scale hydrological effects on gravity for improved distinction of tectonic signals. Journal of Geophysical Research Atmospheres. 115(B7). 22 indexed citations
14.
Viron, O. de, et al.. (2008). Noise reduction through joint processing of gravity and gravity gradient data. Geophysics. 73(3). I23–I34. 32 indexed citations
15.
Viron, O. de, et al.. (2007). Retrieving Earthquake Signature in GRACE Data. AGU Fall Meeting Abstracts. 2007. 3 indexed citations
16.
Panet, Isabelle, В. О. Михайлов, M. Diament, et al.. (2007). Coseismic and post-seismic signatures of the Sumatra 2004 December and 2005 March earthquakes in GRACE satellite gravity. Geophysical Journal International. 171(1). 177–190. 103 indexed citations
17.
Viron, O. de, et al.. (2006). Excitation of Mars polar motion. Astronomy and Astrophysics. 446(1). 345–355. 8 indexed citations
18.
Viron, O. de, et al.. (2005). Atmospheric and oceanic excitation of the rotation of a three-layer Earth. Astronomy and Astrophysics. 438(3). 1149–1161. 10 indexed citations
19.
Viron, O. de & V. Dehant. (2003). Reliability of atmospheric torque for geodesy. 30. 125–126. 1 indexed citations
20.
Viron, O. de, Hugues Goosse, Michel Crucifix, & V. Dehant. (2001). Effect of global warming on the length-of-day. AGU Fall Meeting Abstracts. 2001. 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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