Pierre Weiss

2.2k total citations
53 papers, 1.1k citations indexed

About

Pierre Weiss is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pierre Weiss has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Mechanics, 26 papers in Computer Vision and Pattern Recognition and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pierre Weiss's work include Sparse and Compressive Sensing Techniques (31 papers), Image and Signal Denoising Methods (14 papers) and Advanced MRI Techniques and Applications (11 papers). Pierre Weiss is often cited by papers focused on Sparse and Compressive Sensing Techniques (31 papers), Image and Signal Denoising Methods (14 papers) and Advanced MRI Techniques and Applications (11 papers). Pierre Weiss collaborates with scholars based in France, Switzerland and Germany. Pierre Weiss's co-authors include Xiaoming Yuan, Michael K. Ng, Laure Blanc‐Féraud, Jérôme Fehrenbach, Gilles Aubert, Claire Boyer, Carlos Lorenzo, Philippe Ciuciu, Jérémie Bigot and Nicolas Chauffert and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Pierre Weiss

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Weiss France 17 465 338 302 283 146 53 1.1k
Laure Blanc‐Féraud France 17 426 0.9× 774 2.3× 158 0.5× 321 1.1× 155 1.1× 65 1.4k
Riccardo Zanella Italy 9 290 0.6× 227 0.7× 115 0.4× 150 0.5× 147 1.0× 14 592
Peter Blomgren United States 19 238 0.5× 488 1.4× 123 0.4× 301 1.1× 160 1.1× 35 1.6k
Qi Duan China 19 317 0.7× 135 0.4× 310 1.0× 237 0.8× 35 0.2× 69 1.1k
Anders C. Hansen United Kingdom 17 405 0.9× 268 0.8× 481 1.6× 266 0.9× 143 1.0× 39 1.2k
Matthew Fickus United States 16 254 0.5× 314 0.9× 75 0.2× 72 0.3× 59 0.4× 53 824
Cédric Vonesch Switzerland 17 295 0.6× 500 1.5× 172 0.6× 546 1.9× 69 0.5× 36 1.9k
Abderrahim Elmoataz France 19 225 0.5× 662 2.0× 113 0.4× 56 0.2× 91 0.6× 82 1.2k
You‐Wei Wen China 17 529 1.1× 829 2.5× 82 0.3× 124 0.4× 139 1.0× 48 1.4k
Rongjie Lai United States 18 396 0.9× 399 1.2× 130 0.4× 51 0.2× 47 0.3× 60 1.0k

Countries citing papers authored by Pierre Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Weiss

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Weiss. A scholar is included among the top collaborators of Pierre Weiss 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 Pierre Weiss. Pierre Weiss 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.
Weiss, Pierre, et al.. (2024). Deep-blur: Blind identification and deblurring with convolutional neural networks. SHILAP Revista de lepidopterología. 4. e13–e13. 3 indexed citations
2.
Weiss, Pierre, et al.. (2024). Training Adaptive Reconstruction Networks for Blind Inverse Problems. SIAM Journal on Imaging Sciences. 17(2). 1314–1346. 5 indexed citations
3.
Weiss, Pierre, et al.. (2024). DeepVibes: Correcting Microvibrations in Satellite Imaging With Pushbroom Cameras. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–9. 2 indexed citations
4.
Morin, Renaud, et al.. (2024). Svetlana a supervised segmentation classifier for Napari. Scientific Reports. 14(1). 11604–11604.
5.
Soubies, Emmanuel, et al.. (2023). The MLE is a reliable source: sharp performance guarantees for localization problems. Inverse Problems. 40(1). 14001–14001.
6.
Gournay, Frédéric de, et al.. (2023). Bayesian Optimization of Sampling Densities in MRI. arXiv (Cornell University). 2(June 2023). 253–287. 1 indexed citations
7.
Gournay, Frédéric de, et al.. (2022). Spurious minimizers in non uniform Fourier sampling optimization. Inverse Problems. 38(10). 105003–105003. 7 indexed citations
8.
Mangeat, Thomas, et al.. (2020). Learning Low-Dimensional Models of Microscopes. IEEE Transactions on Computational Imaging. 7. 178–190. 10 indexed citations
9.
Gournay, Frédéric de, et al.. (2019). On the linear convergence rates of exchange and continuous methods for\n total variation minimization. arXiv (Cornell University). 17 indexed citations
10.
Weiss, Pierre, Nicolas Chauffert, Franck Mauconduit, et al.. (2019). SPARKLING: variable‐density k‐space filling curves for accelerated T2*‐weighted MRI. Magnetic Resonance in Medicine. 81(6). 3643–3661. 50 indexed citations
11.
Boyer, Claire, Antonin Chambolle, Yohann de Castro, et al.. (2019). On Representer Theorems and Convex Regularization. SIAM Journal on Optimization. 29(2). 1260–1281. 46 indexed citations
12.
Weiss, Pierre, et al.. (2018). Impact of physical confinement on nuclei geometry and cell division dynamics in 3D spheroids. Scientific Reports. 8(1). 8785–8785. 30 indexed citations
13.
Weiss, Pierre, et al.. (2017). Exact solutions of infinite dimensional total-variation regularized\n problems. arXiv (Cornell University). 16 indexed citations
14.
Boyer, Claire, Jérémie Bigot, & Pierre Weiss. (2017). Compressed sensing with structured sparsity and structured acquisition. Applied and Computational Harmonic Analysis. 46(2). 312–350. 41 indexed citations
15.
Chauffert, Nicolas, Pierre Weiss, Jonas Kahn, & Philippe Ciuciu. (2016). A Projection Algorithm for Gradient Waveforms Design in Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging. 35(9). 2026–2039. 19 indexed citations
16.
Fehrenbach, Jérôme, et al.. (2013). PROCESSING STATIONARY NOISE: MODEL AND PARAMETER SELECTION IN VARIATIONAL METHODS. ∗. 9 indexed citations
17.
Chauffert, Nicolas, Philippe Ciuciu, Jonas Kahn, & Pierre Weiss. (2013). Variable density sampling with continuous sampling trajectories. arXiv (Cornell University). 3 indexed citations
18.
Lorenzo, Corinne, Céline Frongia, Jérôme Fehrenbach, et al.. (2011). Live cell division dynamics monitoring in 3D large spheroid tumor models using light sheet microscopy. Cell Division. 6(1). 22–22. 77 indexed citations
19.
20.
Weiss, Pierre, et al.. (2009). Algorithme rapide pour la restauration d'image régularisée sur les coefficients d'ondelettes. HAL (Le Centre pour la Communication Scientifique Directe). 1 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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