Nicolas Ducros

1.0k total citations
55 papers, 637 citations indexed

About

Nicolas Ducros is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Acoustics and Ultrasonics. According to data from OpenAlex, Nicolas Ducros has authored 55 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 32 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Acoustics and Ultrasonics. Recurrent topics in Nicolas Ducros's work include Photoacoustic and Ultrasonic Imaging (22 papers), Optical Imaging and Spectroscopy Techniques (21 papers) and Random lasers and scattering media (13 papers). Nicolas Ducros is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (22 papers), Optical Imaging and Spectroscopy Techniques (21 papers) and Random lasers and scattering media (13 papers). Nicolas Ducros collaborates with scholars based in France, Italy and United Kingdom. Nicolas Ducros's co-authors include Françoise Peyrin, Cosimo D’Andrea, Gianluca Valentini, Andrea Farina, Simon Arridge, Andrea Bassi, Juan Abascal, Bruno Sixou, Simon Rit and Laure Lavoute and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Optics Letters.

In The Last Decade

Nicolas Ducros

53 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Ducros France 14 393 298 144 101 100 55 637
Joel A. Greenberg United States 13 237 0.6× 201 0.7× 138 1.0× 151 1.5× 38 0.4× 76 564
Marta M. Betcke United Kingdom 10 409 1.0× 314 1.1× 56 0.4× 42 0.4× 60 0.6× 34 614
L. Wang United States 7 484 1.2× 358 1.2× 206 1.4× 115 1.1× 23 0.2× 13 685
Xiaohua Feng Singapore 12 334 0.8× 101 0.3× 96 0.7× 63 0.6× 15 0.1× 21 483
Ziyi Meng China 11 236 0.6× 71 0.2× 77 0.5× 59 0.6× 229 2.3× 18 533
G. Zhang United States 5 293 0.7× 222 0.7× 147 1.0× 84 0.8× 17 0.2× 6 457
Nam Huynh United Kingdom 12 465 1.2× 276 0.9× 50 0.3× 24 0.2× 17 0.2× 26 577
Alex Mrozack United States 7 469 1.2× 44 0.1× 69 0.5× 94 0.9× 80 0.8× 11 879
E. Leith United States 12 294 0.7× 117 0.4× 114 0.8× 355 3.5× 22 0.2× 35 723
Arin Can Ülkü Switzerland 13 183 0.5× 161 0.5× 89 0.6× 105 1.0× 14 0.1× 34 743

Countries citing papers authored by Nicolas Ducros

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Ducros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Ducros

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Ducros. A scholar is included among the top collaborators of Nicolas Ducros 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 Nicolas Ducros. Nicolas Ducros 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.
Cohen, Jérémy E., et al.. (2024). Joint Reconstruction and Spectral Unmixing from Single-Pixel Acquisitions. 661–665. 1 indexed citations
2.
Baudier, Thomas, et al.. (2023). OpenSpyrit: an ecosystem for open single-pixel hyperspectral imaging. Optics Express. 31(10). 15599–15599. 6 indexed citations
3.
Bernard, Olivier, et al.. (2023). Phase Unwrapping of Color Doppler Echocardiography Using Deep Learning. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 70(8). 810–820. 5 indexed citations
4.
Bassi, Andrea Li, et al.. (2023). Model-based deep learning framework for accelerated optical projection tomography. Scientific Reports. 13(1). 21735–21735. 1 indexed citations
5.
Peyrin, Françoise, et al.. (2022). Deep Expectation-Maximization for Single-Pixel Image Reconstruction With Signal-Dependent Noise. IEEE Transactions on Computational Imaging. 8. 759–769. 3 indexed citations
6.
Leclerc, Pierre, et al.. (2021). Single-pixel image reconstruction from experimental data using neural networks. Optics Express. 29(11). 17097–17097. 12 indexed citations
7.
Abascal, Juan, et al.. (2021). 3D denoised completion network for deep single-pixel reconstruction of hyperspectral images. Optics Express. 29(24). 39559–39559. 5 indexed citations
8.
Abascal, Juan, Nicolas Ducros, Simon Rit, et al.. (2021). Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach. IEEE Access. 9. 25632–25647. 3 indexed citations
9.
Mendez, Simon, Olivier Bernard, Nicolas Ducros, et al.. (2021). Physics-constrained intraventricular vector flow mapping by color Doppler. Physics in Medicine and Biology. 66(24). 245019–245019. 11 indexed citations
10.
Ducros, Nicolas & Aurélien Bourquard. (2020). Diffraction-unlimited imaging based on conventional optical devices. Optics Express. 28(8). 11243–11243. 4 indexed citations
11.
Franz, D., David Gauthier, Rana Nicolas, et al.. (2019). All semiconductor enhanced high-harmonic generation from a single nanostructured cone. Scientific Reports. 9(1). 5663–5663. 33 indexed citations
12.
Abascal, Juan, Nicolas Ducros, & Françoise Peyrin. (2018). Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance. Inverse Problems. 34(12). 124003–124003. 13 indexed citations
13.
Peyrin, Françoise, et al.. (2018). A Semi Nonnegative Matrix Factorization Technique for Pattern Generalization in Single-Pixel Imaging. IEEE Transactions on Computational Imaging. 4(2). 284–294. 12 indexed citations
14.
Correia, Teresa, Nicolas Ducros, Cosimo D’Andrea, Martin Schweiger, & Simon Arridge. (2013). Quantitative fluorescence diffuse optical tomography in the presence of heterogeneities. Optics Letters. 38(11). 1903–1903. 14 indexed citations
15.
Ducros, Nicolas, Cosimo D’Andrea, Andrea Bassi, Gianluca Valentini, & Simon Arridge. (2012). A virtual source pattern method for fluorescence tomography with structured light. Physics in Medicine and Biology. 57(12). 3811–3832. 18 indexed citations
16.
Ducros, Nicolas, Cosimo D’Andrea, Gianluca Valentini, et al.. (2010). Full-wavelet approach for fluorescence diffuse optical tomography with structured illumination. Optics Letters. 35(21). 3676–3676. 29 indexed citations
17.
Djaker, Nadia, et al.. (2010). Real time optical method for localization of inclusions embedded in turbid media. Optics Express. 18(8). 7753–7753. 3 indexed citations
18.
Ducros, Nicolas, et al.. (2009). A comprehensive study of the use of temporal moments in time-resolved diffuse optical tomography: part I. Theoretical material. Physics in Medicine and Biology. 54(23). 7089–7105. 16 indexed citations
19.
Ducros, Nicolas, Anabela Da Silva, Lionel Hervé, Jean‐Marc Dinten, & Françoise Peyrin. (2009). A comprehensive study of the use of temporal moments in time-resolved diffuse optical tomography: part II. Three-dimensional reconstructions. Physics in Medicine and Biology. 54(23). 7107–7119. 9 indexed citations
20.
Ducros, Nicolas, et al.. (2008). Approximations of the measurable quantity in diffuse optical problems: theoretical analysis of model deviations. Journal of the Optical Society of America A. 25(5). 1174–1174. 6 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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