Isabelle Panet

2.4k total citations · 1 hit paper
48 papers, 1.2k citations indexed

About

Isabelle Panet is a scholar working on Oceanography, Geophysics and Molecular Biology. According to data from OpenAlex, Isabelle Panet has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oceanography, 29 papers in Geophysics and 22 papers in Molecular Biology. Recurrent topics in Isabelle Panet's work include Geophysics and Gravity Measurements (33 papers), Geomagnetism and Paleomagnetism Studies (22 papers) and earthquake and tectonic studies (17 papers). Isabelle Panet is often cited by papers focused on Geophysics and Gravity Measurements (33 papers), Geomagnetism and Paleomagnetism Studies (22 papers) and earthquake and tectonic studies (17 papers). Isabelle Panet collaborates with scholars based in France, Germany and United States. Isabelle Panet's co-authors include M. Diament, O. de Viron, В. О. Михайлов, M. Holschneider, Mioara Mandéa, Laurent Métivier, Fred F. Pollitz, Jean‐Michel Lemoine, Jianli Chen and William Llovel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Earth and Planetary Science Letters.

In The Last Decade

Isabelle Panet

46 papers receiving 1.2k citations

Hit Papers

Applications and Challenges of GRACE and GRACE Follow-On ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabelle Panet France 19 830 581 458 336 272 48 1.2k
T. Fecher Germany 11 974 1.2× 398 0.7× 546 1.2× 469 1.4× 204 0.8× 27 1.2k
Wolf‐Dieter Schuh Germany 17 1.2k 1.4× 367 0.6× 652 1.4× 589 1.8× 307 1.1× 40 1.4k
Roger Haagmans Netherlands 23 807 1.0× 560 1.0× 657 1.4× 461 1.4× 755 2.8× 64 1.5k
Thomas Gruber Germany 22 1.4k 1.7× 494 0.9× 705 1.5× 739 2.2× 390 1.4× 101 1.7k
Bruno Meurers Austria 16 713 0.9× 504 0.9× 216 0.5× 292 0.9× 110 0.4× 55 1000
Bernhard Heck Germany 19 588 0.7× 247 0.4× 207 0.5× 395 1.2× 215 0.8× 60 903
B. Heck Germany 18 761 0.9× 318 0.5× 258 0.6× 426 1.3× 221 0.8× 41 1.1k
Jan Martin Brockmann Germany 11 992 1.2× 324 0.6× 579 1.3× 502 1.5× 252 0.9× 31 1.1k
S. Rosat France 19 759 0.9× 711 1.2× 202 0.4× 228 0.7× 190 0.7× 71 1.2k
Shuhei Okubo Japan 24 994 1.2× 1.3k 2.3× 384 0.8× 225 0.7× 162 0.6× 73 1.9k

Countries citing papers authored by Isabelle Panet

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Panet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Panet

This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Panet. A scholar is included among the top collaborators of Isabelle Panet 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 Isabelle Panet. Isabelle Panet 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.
Panet, Isabelle, et al.. (2025). GRACE Detection of Transient Mass Redistributions During a Mineral Phase Transition in the Deep Mantle. Geophysical Research Letters. 52(17).
2.
Greff‐Lefftz, M., Isabelle Panet, & Jean Besse. (2024). Continental Hotspots Tracks From an Analysis of GOCE Gravity Gradients Data. Geochemistry Geophysics Geosystems. 25(4).
3.
Chen, Jianli, Anny Cazenave, Christoph Dahle, et al.. (2022). Applications and Challenges of GRACE and GRACE Follow-On Satellite Gravimetry. Surveys in Geophysics. 43(1). 305–345. 150 indexed citations breakdown →
4.
Cattin, Rodolphe, Théo Berthet, György Hetényi, et al.. (2021). Joint inversion of ground gravity data and satellite gravity gradients between Nepal and Bhutan: New insights on structural and seismic segmentation of the Himalayan arc. Physics and Chemistry of the Earth Parts A/B/C. 123. 103002–103002. 3 indexed citations
5.
Pail, Roland, Jonathan Bamber, R. Biancale, et al.. (2019). Mass variation observing system by high low inter-satellite links (MOBILE) – a new concept for sustained observation of mass transport from space. Journal of Geodetic Science. 9(1). 48–58. 13 indexed citations
6.
Foulon, B., Manuel Rodrigues, Gilles Métris, et al.. (2017). On-Orbit Gradiometry results with the scientific instrument of the French Space Mission MICROSCOPE. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
7.
Müller, Jürgen, Dominic Dirkx, Sergei M. Kopeikin, et al.. (2017). High Performance Clocks and Gravity Field Determination. Space Science Reviews. 214(1). 48 indexed citations
8.
Métivier, Laurent, et al.. (2016). Fast computation of general forward gravitation problems. Journal of Geodesy. 90(7). 655–675. 16 indexed citations
9.
Métivier, Laurent, et al.. (2014). Joint Analysis of GOCE Gravity Gradients Data with Seismological and Geodynamic Observations to Infer Mantle Properties. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
11.
Foulon, Bernard, et al.. (2013). A new planar electrostatic gravity gradiometer for airborne surveys. 1216–1219. 3 indexed citations
12.
Bock, Olivier, Marie‐Noëlle Bouin, Alvaro Santamaría‐Gómez, et al.. (2012). Hydrological deformation induced by the West African Monsoon: Comparison of GPS, GRACE and loading models. Journal of Geophysical Research Atmospheres. 117(B5). 77 indexed citations
13.
Gruber, Th., et al.. (2012). Earth system mass transport mission (e.motion) - Technological and mission configuration challenges. 2 indexed citations
14.
Panet, Isabelle, et al.. (2010). Upper mantle rheology from GRACE and GPS postseismic deformation after the 2004 Sumatra‐Andaman earthquake. Geochemistry Geophysics Geosystems. 11(6). 82 indexed citations
15.
Chambodut, Aude, M. Holschneider, Isabelle Panet, et al.. (2009). Local multi-polar expansions in potential field modeling. Earth Planets and Space. 61(10). 1127–1141. 2 indexed citations
16.
Viron, O. de, et al.. (2007). Retrieving Earthquake Signature in GRACE Data. AGU Fall Meeting Abstracts. 2007. 3 indexed citations
17.
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
18.
Panet, Isabelle, Aude Chambodut, M. Diament, M. Holschneider, & Olivier Jamet. (2006). New insights on intraplate volcanism in French Polynesia from wavelet analysis of GRACE, CHAMP, and sea surface data. Journal of Geophysical Research Atmospheres. 111(B9). 28 indexed citations
19.
Viron, O. de, M. Diament, & Isabelle Panet. (2006). Extracting low frequency climate signal from GRACE data. 1(1). 21–36. 10 indexed citations
20.
Chambodut, Aude, Isabelle Panet, Mioara Mandéa, et al.. (2005). Wavelet frames: an alternative to spherical harmonic representation of potential fields. Geophysical Journal International. 163(3). 875–899. 79 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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