G. Kluth

1.0k total citations
12 papers, 149 citations indexed

About

G. Kluth is a scholar working on Computational Mechanics, Atmospheric Science and Nuclear and High Energy Physics. According to data from OpenAlex, G. Kluth has authored 12 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 3 papers in Atmospheric Science and 3 papers in Nuclear and High Energy Physics. Recurrent topics in G. Kluth's work include Computational Fluid Dynamics and Aerodynamics (4 papers), Laser-Plasma Interactions and Diagnostics (3 papers) and Ionosphere and magnetosphere dynamics (2 papers). G. Kluth is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (4 papers), Laser-Plasma Interactions and Diagnostics (3 papers) and Ionosphere and magnetosphere dynamics (2 papers). G. Kluth collaborates with scholars based in France and United States. G. Kluth's co-authors include Bruno Després, Kelli Humbird, M. M. Marinak, B. K. Spears, H. A. Scott, J. M. Koning, S. Laffite, P. E. Masson-Laborde, J. L. Peterson and L. Divol and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Physics of Plasmas.

In The Last Decade

G. Kluth

12 papers receiving 147 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Kluth France 5 80 50 31 22 22 12 149
V.N. Mokhov Russia 8 61 0.8× 116 2.3× 33 1.1× 26 1.2× 6 0.3× 31 162
Hai Le United States 7 45 0.6× 33 0.7× 38 1.2× 11 0.5× 69 3.1× 15 151
D. Rapagnani Italy 9 18 0.2× 82 1.6× 30 1.0× 9 0.4× 31 1.4× 29 188
J. Ovadia France 6 306 3.8× 80 1.6× 56 1.8× 27 1.2× 105 4.8× 6 383
Peng Song China 9 97 1.2× 80 1.6× 88 2.8× 30 1.4× 18 0.8× 25 192
В. В. Скворцов Russia 7 45 0.6× 28 0.6× 9 0.3× 9 0.4× 4 0.2× 49 171
J. M. Scott United States 5 54 0.7× 97 1.9× 38 1.2× 12 0.5× 2 0.1× 14 127
Heath L. Hanshaw United States 6 13 0.2× 67 1.3× 38 1.2× 34 1.5× 3 0.1× 15 132
C. J. Pawley United States 6 33 0.4× 180 3.6× 99 3.2× 54 2.5× 6 0.3× 15 209
W. Wan United States 10 62 0.8× 240 4.8× 24 0.8× 27 1.2× 3 0.1× 21 279

Countries citing papers authored by G. Kluth

Since Specialization
Citations

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

Fields of papers citing papers by G. Kluth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Kluth

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kluth. A scholar is included among the top collaborators of G. Kluth 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 G. Kluth. G. Kluth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Gréa, Benoît-Joseph, et al.. (2025). Leveraging initial conditions memory for modelling Rayleigh–Taylor turbulence. Journal of Fluid Mechanics. 1009. 3 indexed citations
2.
3.
Ripoll, Jean‐François, et al.. (2022). Exploring pitch-angle diffusion during high speed streams with neural networks. SPIRE - Sciences Po Institutional REpository. 1–4. 2 indexed citations
4.
Gréa, Benoît-Joseph, et al.. (2022). Modeling compressed turbulent plasma with rapid viscosity variations. Physics of Plasmas. 29(11). 1 indexed citations
5.
Kluth, G., Kelli Humbird, B. K. Spears, et al.. (2020). Deep learning for NLTE spectral opacities. Physics of Plasmas. 27(5). 28 indexed citations
6.
Kluth, G., Kelli Humbird, B. K. Spears, et al.. (2019). Deep Learning for Non-Local Thermodynamic Equilibrium in hydrocodes for ICF. APS Division of Plasma Physics Meeting Abstracts. 2019. 1 indexed citations
7.
Masson-Laborde, P. E., S. Laffite, C. K. Li, et al.. (2019). Interpretation of proton radiography experiments of hohlraums with three-dimensional simulations. Physical review. E. 99(5). 53207–53207. 4 indexed citations
8.
Blanc, Xavier, et al.. (2018). Variance reduction method for particle transport equation in spherical geometry. Journal of Computational Physics. 364. 274–297. 5 indexed citations
9.
Lefebvre, Éric, P. Gauthier, G. Kluth, et al.. (2018). Development and validation of the TROLL radiation-hydrodynamics code for 3D hohlraum calculations. Nuclear Fusion. 59(3). 32010–32010. 30 indexed citations
10.
Kluth, G. & Bruno Després. (2010). Discretization of hyperelasticity on unstructured mesh with a cell-centered Lagrangian scheme. Journal of Computational Physics. 229(24). 9092–9118. 55 indexed citations
11.
Kluth, G. & Bruno Després. (2008). Perfect plasticity and hyperelastic models for isotropic materials. Continuum Mechanics and Thermodynamics. 20(3). 173–192. 12 indexed citations
12.
Maire, Pierre‐Henri, et al.. (2008). A cell-centered Arbitrary Lagrangian Eulerian (ALE) method for multi-material compressible flows. ESAIM Proceedings. 24. 1–13. 4 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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2026