Blaise Faugeras

1.9k total citations · 1 hit paper
37 papers, 902 citations indexed

About

Blaise Faugeras is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Blaise Faugeras has authored 37 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nuclear and High Energy Physics, 10 papers in Biomedical Engineering and 9 papers in Aerospace Engineering. Recurrent topics in Blaise Faugeras's work include Magnetic confinement fusion research (23 papers), Fusion materials and technologies (8 papers) and Superconducting Materials and Applications (8 papers). Blaise Faugeras is often cited by papers focused on Magnetic confinement fusion research (23 papers), Fusion materials and technologies (8 papers) and Superconducting Materials and Applications (8 papers). Blaise Faugeras collaborates with scholars based in France, Italy and United Kingdom. Blaise Faugeras's co-authors include Olivier Maury, Rahul R. Nair, A. K. Geǐm, M. Potemski, M. Orlita, C. Faugeras, Yunne‐Jai Shin, Francis Marsac, Tamara Ben‐Ari and Cédric Boulbe and has published in prestigious journals such as ACS Nano, Journal of Computational Physics and Mathematics of Computation.

In The Last Decade

Blaise Faugeras

36 papers receiving 876 citations

Hit Papers

Thermal Conductivity of Graphene in Corbino Membrane Geom... 2010 2026 2015 2020 2010 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Blaise Faugeras France 15 358 234 212 155 137 37 902
P. Germain France 16 556 1.6× 56 0.2× 32 0.2× 168 1.1× 362 2.6× 31 1.6k
Louis Laurent France 13 100 0.3× 29 0.1× 434 2.0× 70 0.5× 59 0.4× 33 756
D. Yount United States 21 128 0.4× 134 0.6× 692 3.3× 52 0.3× 207 1.5× 65 1.4k
F. De Lillo Italy 17 42 0.1× 164 0.7× 19 0.1× 53 0.3× 192 1.4× 45 1.0k
S.C. Liu China 21 590 1.6× 80 0.3× 813 3.8× 58 0.4× 287 2.1× 110 1.5k
Baocheng Zhang China 16 22 0.1× 88 0.4× 326 1.5× 173 1.1× 137 1.0× 83 1.2k
F. G. Tomasel United States 15 161 0.4× 31 0.1× 395 1.9× 63 0.4× 60 0.4× 46 1.2k
Joseph W. Wilder United States 21 113 0.3× 239 1.0× 14 0.1× 35 0.2× 91 0.7× 60 1.4k
Yoshiyuki Tsuji Japan 22 180 0.5× 252 1.1× 154 0.7× 31 0.2× 124 0.9× 119 1.4k

Countries citing papers authored by Blaise Faugeras

Since Specialization
Citations

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

Fields of papers citing papers by Blaise Faugeras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blaise Faugeras

This figure shows the co-authorship network connecting the top 25 collaborators of Blaise Faugeras. A scholar is included among the top collaborators of Blaise Faugeras 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 Blaise Faugeras. Blaise Faugeras 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.
Faugeras, Blaise, et al.. (2025). Numerical simulation of tokamak plasma equilibrium evolution. Journal of Computational Physics. 529. 113849–113849.
2.
Nouailletas, R., et al.. (2024). Magnetic Control of WEST Plasmas Through Deep Reinforcement Learning. IEEE Transactions on Plasma Science. 52(9). 3698–3703. 1 indexed citations
3.
Boulbe, Cédric, et al.. (2023). Tokamak Free-Boundary Plasma Equilibrium Computations in Presence of Non-Linear Materials. Journal of Scientific Computing. 96(2). 1 indexed citations
4.
Song, Xiaohui, J. Zhou, E. Nardon, et al.. (2021). Plasma initiation and preliminary magnetic control in the HL-2M tokamak. Nuclear Fusion. 61(8). 86010–86010. 10 indexed citations
5.
Felici, F., Blaise Faugeras, G. Manduchi, et al.. (2021). Development of the RAPTOR suite of codes towards real-time reconstruction of JET discharges. Fusion Engineering and Design. 169. 112431–112431. 2 indexed citations
6.
Faugeras, Blaise. (2020). An overview of the numerical methods for tokamak plasma equilibrium computation implemented in the NICE code. Fusion Engineering and Design. 160. 112020–112020. 33 indexed citations
7.
Faugeras, Blaise & F. Orsitto. (2019). On the identification of the electron temperature profile from polarimetry Stokes vector measurements in Tokamak free-boundary equilibrium reconstruction. Plasma Physics and Controlled Fusion. 61(11). 115002–115002. 3 indexed citations
8.
Moreau, P., P. Spuig, F. Saint‐Laurent, et al.. (2018). The new magnetic diagnostics in the WEST tokamak. Review of Scientific Instruments. 89(10). 10J109–10J109. 15 indexed citations
10.
Faugeras, Blaise. (2016). Tokamak Plasma Boundary Reconstruction Using Toroidal Harmonics and an Optimal Control Method. Fusion Science & Technology. 69(2). 495–504. 2 indexed citations
11.
Blum, Jacques, Cédric Boulbe, Blaise Faugeras, et al.. (2015). Quasi-static free-boundary equilibrium of toroidal plasma with CEDRES++: Computational methods and applications. Journal of Plasma Physics. 81(3). 41 indexed citations
12.
Dueri, Sibylle, Blaise Faugeras, & Olivier Maury. (2012). Modelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E: Part 1. Model formulation. Ecological Modelling. 245. 41–54. 25 indexed citations
13.
Dueri, Sibylle, Blaise Faugeras, & Olivier Maury. (2012). Modelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E – Part 2: Parameter estimation and sensitivity analysis. Ecological Modelling. 245. 55–64. 17 indexed citations
14.
Murari, A., J. Vega, D. Mazon, et al.. (2010). Innovative signal processing and data analysis methods on JET for control in the perspective of next-step devices. Nuclear Fusion. 50(5). 55005–55005. 7 indexed citations
15.
Mazon, D., A. Murari, Cédric Boulbe, et al.. (2010). Validation of Magnetic Reconstruction Codes for Real-Time Applications. Fusion Science & Technology. 58(3). 742–754. 3 indexed citations
16.
Faugeras, Blaise & Olivier Maury. (2007). Modeling fish population movements: From an individual-based representation to an advection–diffusion equation. Journal of Theoretical Biology. 247(4). 837–848. 39 indexed citations
18.
Faugeras, Blaise & Jérôme Pousin. (2004). VARIATIONAL ASYMPTOTIC DERIVATION OF AN ELASTIC MODEL ARISING FROM THE PROBLEM OF 3D AUTOMATIC SEGMENTATION OF CARDIAC IMAGES. Analysis and Applications. 2(4). 275–307. 2 indexed citations
19.
Faugeras, Blaise, Olivier Bernard, Antoine Sciandra, & Marina Lévy. (2004). A mechanistic modelling and data assimilation approach to estimate the carbon/chlorophyll and carbon/nitrogen ratios in a coupled hydrodynamical-biological model. Nonlinear processes in geophysics. 11(4). 515–533. 44 indexed citations
20.
Faugeras, Blaise, Marina Lévy, Laurent Mémery, et al.. (2003). Can biogeochemical fluxes be recovered from nitrate and chlorophyll data? A case study assimilating data in the Northwestern Mediterranean Sea at the JGOFS-DYFAMED station. Journal of Marine Systems. 40-41. 99–125. 42 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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