François P. Hamon

976 total citations
50 papers, 631 citations indexed

About

François P. Hamon is a scholar working on Computational Mechanics, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, François P. Hamon has authored 50 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 19 papers in Environmental Engineering and 16 papers in Ocean Engineering. Recurrent topics in François P. Hamon's work include Advanced Numerical Methods in Computational Mathematics (17 papers), CO2 Sequestration and Geologic Interactions (14 papers) and Hydraulic Fracturing and Reservoir Analysis (10 papers). François P. Hamon is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (17 papers), CO2 Sequestration and Geologic Interactions (14 papers) and Hydraulic Fracturing and Reservoir Analysis (10 papers). François P. Hamon collaborates with scholars based in United States, France and Belgium. François P. Hamon's co-authors include Stéphane Grange, Jacky Mazars, Hamdi A. Tchelepi, Bradley Mallison, Alain Sellier, Stéphane Multon, Joshua A. White, Nicola Castelletto, Nicholas A. Azzolina and Hewei Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Construction and Building Materials.

In The Last Decade

François P. Hamon

47 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François P. Hamon United States 13 197 165 157 156 142 50 631
José L. D. Alves Brazil 12 160 0.8× 90 0.5× 36 0.2× 91 0.6× 97 0.7× 41 423
Zhanqing Chen China 15 374 1.9× 116 0.7× 53 0.3× 91 0.6× 478 3.4× 47 762
Juan M. Giménez Argentina 14 59 0.3× 49 0.3× 208 1.3× 259 1.7× 56 0.4× 44 606
Mattias Liefvendahl Sweden 12 54 0.3× 110 0.7× 127 0.8× 295 1.9× 106 0.7× 36 607
Mayur Pal Lithuania 18 94 0.5× 288 1.7× 265 1.7× 343 2.2× 218 1.5× 95 883
Claire E. Heaney United Kingdom 12 66 0.3× 42 0.3× 93 0.6× 172 1.1× 101 0.7× 37 555
Lorenzo Tamellini Italy 13 65 0.3× 40 0.2× 120 0.8× 162 1.0× 49 0.3× 34 524
Richard A. Beier United States 18 613 3.1× 306 1.9× 409 2.6× 52 0.3× 87 0.6× 42 1.3k
A. Zerva United States 21 1.3k 6.5× 183 1.1× 66 0.4× 50 0.3× 74 0.5× 56 1.5k
C.Y. Liaw Singapore 14 431 2.2× 47 0.3× 125 0.8× 63 0.4× 77 0.5× 40 796

Countries citing papers authored by François P. Hamon

Since Specialization
Citations

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

Fields of papers citing papers by François P. Hamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François P. Hamon. 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 François P. Hamon. The network helps show where François P. Hamon may publish in the future.

Co-authorship network of co-authors of François P. Hamon

This figure shows the co-authorship network connecting the top 25 collaborators of François P. Hamon. A scholar is included among the top collaborators of François P. Hamon 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 François P. Hamon. François P. Hamon 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.
Lee, Chak Shing, et al.. (2024). Multilevel well modeling in aggregation-based nonlinear multigrid for multiphase flow in porous media. Journal of Computational Physics. 513. 113163–113163. 1 indexed citations
2.
Ju, Xin, et al.. (2024). Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. Computers & Geosciences. 193. 105711–105711. 6 indexed citations
3.
Huang, Jian, et al.. (2024). Simulation of Multiphase Flow and Poromechanical Effects Around Injection Wells in CO2 Storage Sites. Rock Mechanics and Rock Engineering.
4.
Amaziane, Brahim, François P. Hamon, Michel Kern, et al.. (2024). A benchmark study on reactive two-phase flow in porous media: Part II - results and discussion. Computational Geosciences. 28(3). 395–412. 11 indexed citations
5.
Castelletto, Nicola, et al.. (2024). Pressure stability in explicitly coupled simulations of poromechanics with application to CO2 sequestration. Computer Methods in Applied Mechanics and Engineering. 435. 117633–117633. 1 indexed citations
6.
Hamon, François P., et al.. (2024). Surrogate model for geological CO2 storage and its use in hierarchical MCMC history matching. Advances in Water Resources. 187. 104678–104678. 21 indexed citations
7.
Hamon, François P., et al.. (2024). Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations. Geoenergy Science and Engineering. 246. 213589–213589. 1 indexed citations
8.
9.
Jacquelin, Mathias, et al.. (2023). Massively Distributed Finite-Volume Flux Computation. 1713–1720. 4 indexed citations
10.
Fournaris, Apostolos P., Ηλίας Αθανασόπουλος, Πάνος Λουρίδας, et al.. (2023). Providing Security Assurance & Hardening for Open Source Software/Hardware: The SecOPERA approach. 80–86. 1 indexed citations
11.
Tang, Hewei, Pengcheng Fu, Honggeun Jo, et al.. (2022). Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR. International journal of greenhouse gas control. 120. 103765–103765. 24 indexed citations
12.
Lee, Chak Shing, François P. Hamon, Nicola Castelletto, Panayot S. Vassilevski, & Joshua A. White. (2022). An aggregation-based nonlinear multigrid solver for two-phase flow and transport in porous media. Computers & Mathematics with Applications. 113. 282–299. 4 indexed citations
13.
Borio, Andrea, François P. Hamon, Nicola Castelletto, Joshua A. White, & Randolph R. Settgast. (2021). Hybrid mimetic finite-difference and virtual element formulation for coupled poromechanics. Computer Methods in Applied Mechanics and Engineering. 383. 113917–113917. 20 indexed citations
14.
Hamon, François P. & Bradley Mallison. (2019). Fully Implicit multidimensional Hybrid Upwind scheme for coupled flow and transport. Computer Methods in Applied Mechanics and Engineering. 358. 112606–112606. 11 indexed citations
15.
Hamon, François P., Martin Schreiber, & Michael L. Minion. (2019). Parallel-in-time multi-level integration of the shallow-water equations on the rotating sphere. Journal of Computational Physics. 407. 109210–109210. 11 indexed citations
16.
Gardner, David J., et al.. (2018). Implicit–explicit (IMEX) Runge–Kutta methods for non-hydrostatic atmospheric models. Geoscientific model development. 11(4). 1497–1515. 30 indexed citations
17.
Hamon, François P., Martin Schreiber, & Michael L. Minion. (2018). Multi-level spectral deferred corrections scheme for the shallow water equations on the rotating sphere. Journal of Computational Physics. 376. 435–454. 8 indexed citations
18.
Hamon, François P., Bradley Mallison, & Hamdi A. Tchelepi. (2017). Implicit Hybrid Upwinding for two-phase flow in heterogeneous porous media with buoyancy and capillarity. Computer Methods in Applied Mechanics and Engineering. 331. 701–727. 26 indexed citations
19.
Hamon, François P., Bradley Mallison, & Hamdi A. Tchelepi. (2016). Implicit Hybrid Upwind scheme for coupled multiphase flow and transport with buoyancy. Computer Methods in Applied Mechanics and Engineering. 311. 599–624. 27 indexed citations
20.
Wolinski, Christophe, et al.. (2008). A New Powerful Scalable Generic Multi-Standard LDPC Decoder Architecture. 314–315. 9 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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