F. Daviaud

4.5k total citations
92 papers, 3.1k citations indexed

About

F. Daviaud is a scholar working on Computational Mechanics, Astronomy and Astrophysics and Molecular Biology. According to data from OpenAlex, F. Daviaud has authored 92 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computational Mechanics, 29 papers in Astronomy and Astrophysics and 26 papers in Molecular Biology. Recurrent topics in F. Daviaud's work include Fluid Dynamics and Turbulent Flows (38 papers), Solar and Space Plasma Dynamics (27 papers) and Geomagnetism and Paleomagnetism Studies (26 papers). F. Daviaud is often cited by papers focused on Fluid Dynamics and Turbulent Flows (38 papers), Solar and Space Plasma Dynamics (27 papers) and Geomagnetism and Paleomagnetism Studies (26 papers). F. Daviaud collaborates with scholars based in France, United Kingdom and United States. F. Daviaud's co-authors include Arnaud Chiffaudel, Olivier Dauchot, Florent Ravelet, B. Dubrulle, P. Bergé, Javier Burguete, M. Dubois, Daniel Bonamy, Romain Monchaux and Mickaël Bourgoin and has published in prestigious journals such as Physical Review Letters, Nature Communications and Journal of Fluid Mechanics.

In The Last Decade

F. Daviaud

91 papers receiving 3.0k citations

Author Peers

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

Author Last Decade Papers Cites
F. Daviaud 1.8k 914 908 526 526 92 3.1k
Robert E. Ecke 2.4k 1.4× 550 0.6× 599 0.7× 850 1.6× 768 1.5× 126 4.2k
Daniel P. Lathrop 1.2k 0.7× 709 0.8× 592 0.7× 355 0.7× 284 0.5× 82 3.4k
F. H. Busse 2.1k 1.2× 1.2k 1.4× 1.5k 1.6× 489 0.9× 329 0.6× 54 4.3k
Patrice Le Gal 1.4k 0.8× 541 0.6× 590 0.6× 336 0.6× 177 0.3× 102 2.5k
Juan M. López 3.2k 1.8× 264 0.3× 601 0.7× 607 1.2× 186 0.4× 187 4.0k
J.-F. Pinton 1.2k 0.7× 657 0.7× 634 0.7× 89 0.2× 261 0.5× 62 2.7k
George Veronis 1.3k 0.7× 450 0.5× 433 0.5× 322 0.6× 604 1.1× 95 3.4k
Joël Sommeria 1.9k 1.1× 997 1.1× 512 0.6× 127 0.2× 720 1.4× 107 4.3k
Rich R. Kerswell 2.9k 1.7× 361 0.4× 409 0.5× 227 0.4× 854 1.6× 109 3.7k
Arnaud Chiffaudel 765 0.4× 676 0.7× 704 0.8× 252 0.5× 119 0.2× 32 1.6k

Countries citing papers authored by F. Daviaud

Since Specialization
Citations

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

Fields of papers citing papers by F. Daviaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Daviaud

This figure shows the co-authorship network connecting the top 25 collaborators of F. Daviaud. A scholar is included among the top collaborators of F. Daviaud 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 F. Daviaud. F. Daviaud 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.
Alberti, Tommaso, Davide Faranda, Valerio Lucarini, et al.. (2023). Scale dependence of fractal dimension in deterministic and stochastic Lorenz-63 systems. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(2). 23144–23144. 12 indexed citations
2.
Dubrulle, B., F. Daviaud, Davide Faranda, Louis Marié, & Brice Saint-Michel. (2022). How many modes are needed to predict climate bifurcations? Lessons from an experiment. Nonlinear processes in geophysics. 29(1). 17–35. 8 indexed citations
3.
Cheminet, A., Christophe Cuvier, F. Daviaud, et al.. (2022). Eulerian vs Lagrangian Irreversibility in an Experimental Turbulent Swirling Flow. Physical Review Letters. 129(12). 124501–124501. 5 indexed citations
4.
Salort, Julien, Francesca Chillà, P.-E. Roche, et al.. (2021). Experimental signature of quantum turbulence in velocity spectra?. New Journal of Physics. 23(6). 63005–63005. 4 indexed citations
5.
Cheminet, A., F. Daviaud, Jean-Marc Foucaut, et al.. (2021). On the nature of intermittency in a turbulent von Kármán flow. Journal of Fluid Mechanics. 914. 10 indexed citations
6.
Dubrulle, B., F. Daviaud, Davide Faranda, Louis Marié, & Brice Saint-Michel. (2021). Lewis fry Richardson Medal Lecture – How many modes are neededto predict climate bifurcations?: Lessons from an experiment. 1 indexed citations
7.
Cuvier, Christophe, et al.. (2021). Three-dimensional analysis of precursors to non-viscous dissipation in an experimental turbulent flow. Journal of Fluid Mechanics. 914. 12 indexed citations
8.
Faranda, Davide, et al.. (2018). Dissipation, intermittency, and singularities in incompressible turbulent flows. Physical review. E. 97(5). 53101–53101. 14 indexed citations
9.
Saw, Ewe-Wei, et al.. (2017). New method for detecting singularities in experimental incompressible flows. LillOA (Université de Lille (University Of Lille)). 10 indexed citations
10.
Faranda, Davide, et al.. (2017). Stochastic Chaos in a Turbulent Swirling Flow. Physical Review Letters. 119(1). 14502–14502. 47 indexed citations
11.
Fauve, S., Christophe Gissinger, François Pétrelis, et al.. (2014). Dynamo efficiency controlled by hydrodynamic bistability. Physical Review E. 89(6). 63023–63023. 3 indexed citations
12.
Faranda, Davide, B. Dubrulle, F. Daviaud, & Flavio Pons. (2014). Probing turbulence intermittency via autoregressive moving-average models. Physical Review E. 90(6). 61001–61001. 6 indexed citations
13.
Ravelet, Florent, et al.. (2012). KinematicαTensors and Dynamo Mechanisms in a von Kármán Swirling Flow. Physical Review Letters. 109(2). 24503–24503. 16 indexed citations
14.
Ponty, Yannick, Pablo D. Mininni, Alexandros Alexakis, et al.. (2008). Linear and non-linear features of the Taylor–Green dynamo. Comptes Rendus Physique. 9(7). 749–756. 7 indexed citations
15.
Aumaître, Sébastien, Michaël Berhanu, Mickaël Bourgoin, et al.. (2008). The VKS experiment: turbulent dynamical dynamos. Comptes Rendus Physique. 9(7). 689–701. 12 indexed citations
16.
Ravelet, Florent, Michaël Berhanu, Romain Monchaux, et al.. (2008). Chaotic Dynamos Generated by a Turbulent Flow of Liquid Sodium. Physical Review Letters. 101(7). 74502–74502. 62 indexed citations
17.
Monchaux, Romain, Florent Ravelet, B. Dubrulle, Arnaud Chiffaudel, & F. Daviaud. (2006). Properties of Steady States in Turbulent Axisymmetric Flows. Physical Review Letters. 96(12). 124502–124502. 45 indexed citations
18.
Ravelet, Florent, et al.. (2004). Multistability and Memory Effect in a Highly Turbulent Flow: Experimental Evidence for a Global Bifurcation. Physical Review Letters. 93(16). 164501–164501. 128 indexed citations
19.
Bonamy, Daniel, et al.. (2003). Microdisplacements induced by a local perturbation inside a granular packing. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(4). 42301–42301. 3 indexed citations
20.
Bonamy, Daniel, F. Daviaud, Louis Laurent, M. Bonetti, & J. P. Bouchaud. (2002). Multiscale Clustering in Granular Surface Flows. Physical Review Letters. 89(3). 34301–34301. 52 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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