Luca Calatroni

705 total citations
34 papers, 292 citations indexed

About

Luca Calatroni is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Luca Calatroni has authored 34 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Computational Mechanics and 9 papers in Biomedical Engineering. Recurrent topics in Luca Calatroni's work include Sparse and Compressive Sensing Techniques (11 papers), Photoacoustic and Ultrasonic Imaging (9 papers) and Image and Signal Denoising Methods (7 papers). Luca Calatroni is often cited by papers focused on Sparse and Compressive Sensing Techniques (11 papers), Photoacoustic and Ultrasonic Imaging (9 papers) and Image and Signal Denoising Methods (7 papers). Luca Calatroni collaborates with scholars based in France, Italy and United Kingdom. Luca Calatroni's co-authors include Pierluigi Colli, Carola‐Bibiane Schönlieb, Juan Carlos De los Reyes, Alessandro Lanza, Fiorella Sgallari, Kostas Papafitsoros, Antonin Chambolle, Elena Loli Piccolomini, Nicolas Papadakis and Aurélie Bugeau and has published in prestigious journals such as IEEE Transactions on Image Processing, PLoS Computational Biology and SIAM Review.

In The Last Decade

Luca Calatroni

31 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luca Calatroni France	10	144	97	58	46	40	34	292
Andrés Solé Spain	6	434 3.0×	175 1.8×	52 0.9×	84 1.8×	97 2.4×	10	544
Ankita Shukla India	10	75 0.5×	74 0.8×	21 0.4×	9 0.2×	14 0.3×	48	284
Gloria Haro Spain	14	251 1.7×	96 1.0×	17 0.3×	19 0.4×	53 1.3×	38	437
Caroline Chaux France	10	264 1.8×	124 1.3×	8 0.1×	25 0.5×	98 2.5×	27	390
M. Carriero Italy	7	75 0.5×	73 0.8×	174 3.0×	99 2.2×	6 0.1×	8	339
Antonio Leaci Italy	11	128 0.9×	106 1.1×	221 3.8×	160 3.5×	6 0.1×	31	457
Paul Burchard United States	5	163 1.1×	244 2.5×	16 0.3×	9 0.2×	14 0.3×	5	392
Kristian Witsch Germany	10	133 0.9×	159 1.6×	47 0.8×	52 1.1×	13 0.3×	15	281
Dmitry Vorotnikov Portugal	12	102 0.7×	57 0.6×	132 2.3×	52 1.1×	40 1.0×	32	390

Countries citing papers authored by Luca Calatroni

Since Specialization

Citations

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

Fields of papers citing papers by Luca Calatroni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Calatroni

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Calatroni. A scholar is included among the top collaborators of Luca Calatroni 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 Luca Calatroni. Luca Calatroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Calatroni, Luca, et al.. (2025). Exact continuous relaxations of $$\ell _0$$-regularized criteria with non-quadratic data terms. Journal of Global Optimization. 93(3). 651–699.

Aujol, Jean–François, et al.. (2024). Parameter-Free FISTA by Adaptive Restart and Backtracking. SIAM Journal on Optimization. 34(4). 3259–3285. 1 indexed citations

Calatroni, Luca, et al.. (2024). Special issue on optimization and learning methods for inverse problems in microscopy: in memory of Mario Bertero. Inverse Problems. 40(8). 80201–80201.

Morotti, Elena, et al.. (2024). Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc. Heritage Science. 12(1). 6 indexed citations

Calatroni, Luca, et al.. (2023). Beyond ℓ1 sparse coding in V1. PLoS Computational Biology. 19(9). e1011459–e1011459. 2 indexed citations

Achim, Alin, et al.. (2023). Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography. CINECA IRIS Institutial Research Information System (University of Genoa). 2 indexed citations

Calatroni, Luca, et al.. (2023). Fast and stable schemes for non-linear osmosis filtering. Computers & Mathematics with Applications. 133. 30–47. 3 indexed citations

Calatroni, Luca, et al.. (2023). Fluorescence image deconvolution microscopy via generative adversarial learning (FluoGAN). CINECA IRIS Institutial Research Information System (University of Genoa). 2 indexed citations

Calatroni, Luca, et al.. (2023). On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance. SIAM Review. 65(3). 601–685. 8 indexed citations

10.

Calatroni, Luca, et al.. (2022). ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems. Journal of Mathematical Imaging and Vision. 65(1). 99–123. 6 indexed citations

11.

Calatroni, Luca, et al.. (2022). A Unified Surface Geometric Framework for Feature-Aware Denoising, Hole Filling and Context-Aware Completion. Journal of Mathematical Imaging and Vision. 65(1). 82–98. 6 indexed citations

12.

Calatroni, Luca, et al.. (2022). COL0RME: Super-resolution microscopy based on sparse blinking/fluctuating fluorophore localization and intensity estimation. PubMed. 2. e1–e1. 1 indexed citations

13.

Calatroni, Luca, et al.. (2021). Efficient $\\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation. HAL (Le Centre pour la Communication Scientifique Directe). 10 indexed citations

14.

Calatroni, Luca, et al.. (2021). Residual whiteness principle for automatic parameter selection in 𝓁 2 -𝓁 2 image super-resolution problems.. arXiv (Cornell University). 1 indexed citations

15.

Schaub, Sébastien, et al.. (2021). COL0RME: Covariance-Based l₀ Super-Resolution Microscopy with Intensity Estimation. arXiv (Cornell University). 3 indexed citations

16.

Calatroni, Luca, et al.. (2021). Accelerated Iterative Regularization via Dual Diagonal Descent. SIAM Journal on Optimization. 31(1). 754–784. 5 indexed citations

17.

Bertalmı́o, Marcelo, et al.. (2019). Visual illusions via neural dynamics: Wilson-Cowan-type models and the\n efficient representation principle. arXiv (Cornell University). 8 indexed citations

18.

Calatroni, Luca, et al.. (2019). Anisotropic osmosis filtering for shadow removal in images. Inverse Problems. 35(5). 54001–54001. 14 indexed citations

19.

Calatroni, Luca & Kostas Papafitsoros. (2019). Analysis and automatic parameter selection of a variational model for mixed Gaussian and salt-and-pepper noise removal. Inverse Problems. 35(11). 114001–114001. 19 indexed citations

20.

Calatroni, Luca, Yves van Gennip, Carola‐Bibiane Schönlieb, Hannah M. Rowland, & Arjuna Flenner. (2017). Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images. Apollo (University of Cambridge). 13 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.

Explore authors with similar magnitude of impact