M. Carbillet

2.2k total citations
51 papers, 609 citations indexed

About

M. Carbillet is a scholar working on Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Carbillet has authored 51 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atomic and Molecular Physics, and Optics, 19 papers in Astronomy and Astrophysics and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Carbillet's work include Adaptive optics and wavefront sensing (39 papers), Stellar, planetary, and galactic studies (17 papers) and Optical Systems and Laser Technology (11 papers). M. Carbillet is often cited by papers focused on Adaptive optics and wavefront sensing (39 papers), Stellar, planetary, and galactic studies (17 papers) and Optical Systems and Laser Technology (11 papers). M. Carbillet collaborates with scholars based in France, Italy and Germany. M. Carbillet's co-authors include M. Bertero, Patrizia Boccacci, C. Vérinaud, Luca Fini, A. Natta, L. Testi, E. Habart, G. Desiderá, Armando Riccardi and A. Vigan and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Signal Processing.

In The Last Decade

M. Carbillet

48 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Carbillet France 16 345 263 145 127 116 51 609
Richard G. Lyon United States 11 288 0.8× 264 1.0× 112 0.8× 80 0.6× 74 0.6× 64 530
Adam R. Contos United States 12 342 1.0× 467 1.8× 64 0.4× 147 1.2× 97 0.8× 23 718
F. Vakili France 18 401 1.2× 757 2.9× 63 0.4× 92 0.7× 92 0.8× 118 980
Andrea Tozzi Italy 12 617 1.8× 151 0.6× 64 0.4× 270 2.1× 157 1.4× 46 720
Fabien Baron United States 17 218 0.6× 722 2.7× 67 0.5× 44 0.3× 37 0.3× 72 879
E. Pedretti United States 21 383 1.1× 1.0k 3.9× 62 0.4× 81 0.6× 87 0.8× 80 1.3k
John H. Seldin United States 12 421 1.2× 54 0.2× 256 1.8× 145 1.1× 115 1.0× 31 600
Ruslan Belikov United States 13 597 1.7× 544 2.1× 53 0.4× 159 1.3× 119 1.0× 116 779
R. Petrov France 20 248 0.7× 1000 3.8× 72 0.5× 47 0.4× 39 0.3× 112 1.2k
M. E. Levi United States 15 104 0.3× 253 1.0× 10 0.1× 253 2.0× 117 1.0× 53 669

Countries citing papers authored by M. Carbillet

Since Specialization
Citations

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

Fields of papers citing papers by M. Carbillet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Carbillet

This figure shows the co-authorship network connecting the top 25 collaborators of M. Carbillet. A scholar is included among the top collaborators of M. Carbillet 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 M. Carbillet. M. Carbillet 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.
Por, Emiel H., Mamadou N’Diaye, Gregory R. Brady, et al.. (2023). Low-order wavefront control using a Zernike sensor through Lyot coronagraphs for exoplanet imaging. II. Concurrent operation with stroke minimization. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
2.
Faurobert, M., S. Criscuoli, M. Carbillet, & G. Contursi. (2020). A new spectroscopic method for measuring the temperature gradient in the solar photosphere. Astronomy and Astrophysics. 642. A186–A186. 1 indexed citations
3.
Janin-Potiron, Pierre, Mamadou N’Diaye, P. Martinez, et al.. (2017). Fine cophasing of segmented aperture telescopes with ZELDA, a Zernike wavefront sensor in the diffraction-limited regime. Astronomy and Astrophysics. 603. A23–A23. 15 indexed citations
4.
Janin-Potiron, Pierre, P. Martinez, Pierre Baudoz, & M. Carbillet. (2016). The self-coherent camera as a focal plane fine phasing sensor. Astronomy and Astrophysics. 592. A110–A110. 10 indexed citations
5.
Camera, Andrea, et al.. (2015). Deconvolution of post-adaptive optics images of faint circumstellar environments by means of the inexact Bregman procedure. Astronomy and Astrophysics. 586. A16–A16. 9 indexed citations
6.
Carbillet, M., C. Vérinaud, Bruno Femenía, Armando Riccardi, & Luca Fini. (2011). CAOS: Code for Adaptive Optics Systems. Astrophysics Source Code Library.
7.
Desiderá, G. & M. Carbillet. (2009). Strehl-constrained iterative blind deconvolution for post-adaptive-optics data. Astronomy and Astrophysics. 507(3). 1759–1762. 20 indexed citations
8.
Habart, E., A. Natta, L. Testi, & M. Carbillet. (2006). Spatially resolved PAH emission in the inner disks of Herbig Ae/Be stars. Springer Link (Chiba Institute of Technology). 36 indexed citations
9.
Carbillet, M., et al.. (2006). Astronomy with High Contrast Imaging III: Instrumental Techniques, Modeling and Data Processing. EAS Publications Series. 22. 3 indexed citations
10.
Bertero, M., et al.. (2006). Iterative methods for the reconstruction of astronomical images with high dynamic range. Journal of Computational and Applied Mathematics. 198(2). 321–331. 9 indexed citations
11.
Desiderá, G., et al.. (2006). Application of iterative blind deconvolution to the reconstruction of LBT LINC-NIRVANA images. Astronomy and Astrophysics. 452(2). 727–734. 17 indexed citations
12.
Bertero, M., et al.. (2006). Reduction of boundary effects in multiple image deconvolution with an application to LBT LINC-NIRVANA. Astronomy and Astrophysics. 448(3). 1217–1224. 23 indexed citations
13.
Bertero, M., et al.. (2006). Deconvolution of multiple images with high dynamic range and an application to LBT LINC-NIRVANA. Astronomy and Astrophysics. 460(1). 349–355. 9 indexed citations
14.
Bertero, M., et al.. (2005). Restoration of interferometric images. Astronomy and Astrophysics. 430(2). 731–738. 23 indexed citations
15.
Bertero, M., et al.. (2005). Restoration of interferometric images. Astronomy and Astrophysics. 431(2). 747–755. 10 indexed citations
16.
Carbillet, M., S. Correia, Patrizia Boccacci, & M. Bertero. (2002). Restoration of interferometric images. Astronomy and Astrophysics. 387(2). 744–757. 22 indexed citations
17.
Correia, S., M. Carbillet, Patrizia Boccacci, M. Bertero, & Luca Fini. (2002). Restoration of interferometric images. Astronomy and Astrophysics. 387(2). 733–743. 30 indexed citations
18.
Carbillet, M., Luca Fini, Bruno Femenía, et al.. (2001). CAOS Simulation Package 3.0: an IDL-based Tool for Adaptive Optics Systems Design and Simulations. Arquivos Brasileiros de Cardiologia. 238(2). 249–7. 5 indexed citations
19.
Correia, S., M. Carbillet, Luca Fini, et al.. (2001). AIRY: Astronomical Image Restoration in interferometrY. ASPC. 238. 404. 2 indexed citations
20.
Brusa, Guido, Armando Riccardi, M. Accardo, et al.. (2000). From adaptive secondary mirrors to extra-thin extra-large adaptive primary mirrors. 57. 181. 12 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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