Jean‐Bernard Maillet

1.6k total citations
66 papers, 1.2k citations indexed

About

Jean‐Bernard Maillet is a scholar working on Materials Chemistry, Mechanics of Materials and Geophysics. According to data from OpenAlex, Jean‐Bernard Maillet has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Materials Chemistry, 28 papers in Mechanics of Materials and 25 papers in Geophysics. Recurrent topics in Jean‐Bernard Maillet's work include Energetic Materials and Combustion (28 papers), High-pressure geophysics and materials (25 papers) and Machine Learning in Materials Science (11 papers). Jean‐Bernard Maillet is often cited by papers focused on Energetic Materials and Combustion (28 papers), High-pressure geophysics and materials (25 papers) and Machine Learning in Materials Science (11 papers). Jean‐Bernard Maillet collaborates with scholars based in France, United States and United Kingdom. Jean‐Bernard Maillet's co-authors include Émeric Bourasseau, Nicolas Desbiens, Anne Boutin, Alain H. Fuchs, Christophe Denoual, Brad Lee Holian, Gabriel Stoltz, Timothy C. Germann, Laurent Soulard and Mihai‐Cosmin Marinica and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Jean‐Bernard Maillet

65 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐Bernard Maillet France 20 700 428 360 293 155 66 1.2k
Frederick H. Streitz United States 23 904 1.3× 317 0.7× 294 0.8× 721 2.5× 49 0.3× 42 2.4k
Shawn McGrane United States 22 499 0.7× 545 1.3× 277 0.8× 368 1.3× 122 0.8× 69 1.2k
C. A. Bolme United States 24 868 1.2× 580 1.4× 701 1.9× 280 1.0× 136 0.9× 88 1.7k
Franz Gähler Germany 14 1.5k 2.2× 179 0.4× 104 0.3× 400 1.4× 65 0.4× 50 2.0k
M. J. Cawkwell United States 23 1.0k 1.5× 933 2.2× 377 1.0× 346 1.2× 268 1.7× 96 1.6k
Vikram Gavini United States 22 800 1.1× 136 0.3× 66 0.2× 668 2.3× 79 0.5× 56 1.5k
Hans‐Rainer Trebin Germany 26 1.6k 2.3× 248 0.6× 73 0.2× 722 2.5× 61 0.4× 143 2.6k
M. C. Valsakumar India 23 1.1k 1.5× 110 0.3× 89 0.2× 257 0.9× 82 0.5× 109 1.7k
V. L. Indenbom Russia 19 771 1.1× 299 0.7× 101 0.3× 219 0.7× 41 0.3× 55 1.3k
A. N. Semenov Russia 21 1.1k 1.5× 70 0.2× 158 0.4× 162 0.6× 49 0.3× 78 1.8k

Countries citing papers authored by Jean‐Bernard Maillet

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Bernard Maillet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Bernard Maillet. 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 Jean‐Bernard Maillet. The network helps show where Jean‐Bernard Maillet may publish in the future.

Co-authorship network of co-authors of Jean‐Bernard Maillet

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Bernard Maillet. A scholar is included among the top collaborators of Jean‐Bernard Maillet 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 Jean‐Bernard Maillet. Jean‐Bernard Maillet 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.
Tranchida, Julien, et al.. (2024). Atomistic simulations of nuclear fuel UO2 with machine learning interatomic potentials. Physical Review Materials. 8(2). 11 indexed citations
2.
3.
Maillet, Jean‐Bernard, et al.. (2023). Robust crystal structure identification at extreme conditions using a density-independent spectral descriptor and supervised learning. Computational Materials Science. 230. 112534–112534. 3 indexed citations
4.
Maillet, Jean‐Bernard, et al.. (2023). Multiscale Reactive Model for 1,3,5-Triamino-2,4,6-trinitrobenzene Inferred by Reactive MD Simulations and Unsupervised Learning. The Journal of Physical Chemistry C. 127(31). 15556–15572. 7 indexed citations
5.
Maillet, Jean‐Bernard, et al.. (2022). Elastic Anisotropy of 1,3,5‐Triamino‐2,4,6‐Trinitrobenzene as a Function of Temperature and Pressure: A Molecular Dynamics Study. Propellants Explosives Pyrotechnics. 47(8). 12 indexed citations
6.
Gkeka, Paraskevi, Gabriel Stoltz, Amir Barati Farimani, et al.. (2020). Machine learning force fields and coarse-grained variables in molecular\n dynamics: application to materials and biological systems. arXiv (Cornell University). 138 indexed citations
7.
Goryaeva, Alexandra M., et al.. (2020). Reinforcing materials modelling by encoding the structures of defects in crystalline solids into distortion scores. Nature Communications. 11(1). 4691–4691. 41 indexed citations
8.
Denoual, Christophe, et al.. (2017). Detection of plasticity mechanisms in an energetic molecular crystal through shock-like 3D unidirectional compressions: A Molecular Dynamics study. Bulletin of the American Physical Society. 1 indexed citations
9.
Maillet, Jean‐Bernard, et al.. (2016). Size consistency in smoothed dissipative particle dynamics. Physical review. E. 94(4). 43305–43305. 5 indexed citations
10.
Maillet, Jean‐Bernard. (2015). Mesoscopic description of hot spot phenomena: a route for hybrid multiscale simulations. Bulletin of the American Physical Society. 1 indexed citations
11.
Dremov, V. V., et al.. (2012). Comparative analysis of the data on shocked benzene properties obtained in MD simulations with different interatomic potentials. AIP conference proceedings. 1291–1294. 1 indexed citations
12.
Bourasseau, Émeric & Jean‐Bernard Maillet. (2011). Coupling microscopic and mesoscopic scales to simulate chemical equilibrium between a nanometric carbon cluster and detonation products fluid. Physical Chemistry Chemical Physics. 13(15). 7060–7060. 3 indexed citations
13.
Pineau, Nicolas, Guillaume Chevrot, Émeric Bourasseau, et al.. (2009). Phase diagram and thermodynamic properties of nanocarbons in detonation conditions from atomistic simulations using the LCBOPII potential. 1 indexed citations
14.
Maillet, Jean‐Bernard, Émeric Bourasseau, Laurent Soulard, Jean Clérouin, & Gabriel Stoltz. (2009). Constant entropy sampling and release waves of shock compressions. Physical Review E. 80(2). 21135–21135. 6 indexed citations
15.
16.
Desbiens, Nicolas, Émeric Bourasseau, Jean‐Bernard Maillet, & Laurent Soulard. (2008). Molecular based equation of state for shocked liquid nitromethane. Journal of Hazardous Materials. 166(2-3). 1120–1126. 14 indexed citations
17.
Bourasseau, Émeric & Jean‐Bernard Maillet. (2005). Parameter Optimization for Charge Equilibration Method in Molecular Simulations. Bulletin of the American Physical Society. 1 indexed citations
18.
Holian, Brad Lee, Timothy C. Germann, Jean‐Bernard Maillet, & C. T. White. (2002). Atomistic Mechanism for Hot Spot Initiation. Physical Review Letters. 89(28). 285501–285501. 93 indexed citations
19.
Love, Peter J., Jean‐Bernard Maillet, & Peter V. Coveney. (2001). Three-dimensional hydrodynamic lattice-gas simulations of binary immiscible and ternary amphiphilic flow through porous media. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(6). 61302–61302. 20 indexed citations
20.
Maillet, Jean‐Bernard, Michel Mareschal, Laurent Soulard, et al.. (2000). Uniaxial Hugoniostat: A method for atomistic simulations of shocked materials. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(1). 16121–16121. 87 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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