Luca Zanni

2.0k total citations
56 papers, 1.3k citations indexed

About

Luca Zanni is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Luca Zanni has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 26 papers in Numerical Analysis and 16 papers in Computational Theory and Mathematics. Recurrent topics in Luca Zanni's work include Sparse and Compressive Sensing Techniques (28 papers), Advanced Optimization Algorithms Research (25 papers) and Optimization and Variational Analysis (10 papers). Luca Zanni is often cited by papers focused on Sparse and Compressive Sensing Techniques (28 papers), Advanced Optimization Algorithms Research (25 papers) and Optimization and Variational Analysis (10 papers). Luca Zanni collaborates with scholars based in Italy, France and Colombia. Luca Zanni's co-authors include Gaetano Zanghirati, Riccardo Zanella, M. Bertero, Silvia Bonettini, Patrizia Boccacci, Valeria Ruggiero, Marco Prato, Federica Porta, Giorgio Talenti and Roberto Cavicchioli and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Luca Zanni

56 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Zanni Italy 18 615 469 335 249 240 56 1.3k
Dirk A. Lorenz Germany 20 716 1.2× 310 0.7× 298 0.9× 544 2.2× 118 0.5× 69 1.5k
Valérie R. Wajs France 2 1.2k 2.0× 654 1.4× 370 1.1× 439 1.8× 160 0.7× 2 1.9k
Silvia Bonettini Italy 13 437 0.7× 240 0.5× 213 0.6× 185 0.7× 60 0.3× 47 704
Ben Adcock Canada 18 562 0.9× 323 0.7× 107 0.3× 131 0.5× 125 0.5× 72 1.4k
Bradley J. Lucier United States 18 597 1.0× 1.1k 2.4× 76 0.2× 220 0.9× 137 0.6× 44 1.9k
Jean–François Aujol France 26 736 1.2× 1.9k 4.0× 85 0.3× 265 1.1× 116 0.5× 81 2.4k
Gerlind Plonka Germany 23 559 0.9× 1.1k 2.3× 92 0.3× 110 0.4× 75 0.3× 95 1.8k
Rachel Ward United States 19 811 1.3× 339 0.7× 80 0.2× 102 0.4× 366 1.5× 64 1.4k
Mark Rudelson United States 20 1.0k 1.7× 290 0.6× 89 0.3× 333 1.3× 455 1.9× 46 2.3k
Shoham Sabach Israel 18 870 1.4× 414 0.9× 773 2.3× 250 1.0× 232 1.0× 37 2.1k

Countries citing papers authored by Luca Zanni

Since Specialization
Citations

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

Fields of papers citing papers by Luca Zanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Zanni

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Zanni. A scholar is included among the top collaborators of Luca Zanni 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 Zanni. Luca Zanni 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.
Porta, Federica, et al.. (2023). Learning rate selection in stochastic gradient methods based on line search strategies. SHILAP Revista de lepidopterología. 31(1). 4 indexed citations
2.
Ruggiero, Valeria, et al.. (2022). Neural architecture search via standard machine learning methodologies. Mathematics in Engineering. 5(1). 1–21. 16 indexed citations
3.
Porta, Federica, et al.. (2022). Hybrid limited memory gradient projection methods for box-constrained optimization problems. Computational Optimization and Applications. 84(1). 151–189. 6 indexed citations
4.
Cavicchioli, Roberto, et al.. (2020). GPU acceleration of a model-based iterative method for Digital Breast Tomosynthesis. Scientific Reports. 10(1). 43–43. 7 indexed citations
5.
Ruggiero, Valeria, et al.. (2016). Scaled first–order methods for a class of large–scale constrained least square problems. AIP conference proceedings. 1776. 40002–40002. 4 indexed citations
6.
Zanni, Luca, et al.. (2014). Numerical Methods for Parameter Estimation in Poisson Data Inversion. Journal of Mathematical Imaging and Vision. 52(3). 397–413. 20 indexed citations
7.
Bertero, M., Valeria Ruggiero, & Luca Zanni. (2013). Special Issue on "Optimization Methods for Inverse Problems in Imaging": Guest Editorial. IRIS UNIMORE (University of Modena and Reggio Emilia). 54. 211–213. 2 indexed citations
8.
Zanella, Riccardo, Gaetano Zanghirati, Roberto Cavicchioli, et al.. (2013). Towards real-time image deconvolution: application to confocal and STED microscopy. Scientific Reports. 3(1). 2523–2523. 59 indexed citations
9.
Bertero, M., Patrizia Boccacci, Marco Prato, & Luca Zanni. (2013). Scaled Gradient Projection Methods for Astronomical Imaging. EAS Publications Series. 59. 325–356. 2 indexed citations
10.
Prato, Marco, Roberto Cavicchioli, Luca Zanni, Patrizia Boccacci, & M. Bertero. (2012). Efficient deconvolution methods for astronomical imaging: algorithms and IDL-GPU codes. Springer Link (Chiba Institute of Technology). 35 indexed citations
11.
Prato, Marco, Stefania Favilla, Luca Zanni, Carlo Adolfo Porro, & Patrizia Baraldi. (2011). A regularization algorithm for decoding perceptual temporal profiles from fMRI data. NeuroImage. 56(1). 258–267. 16 indexed citations
12.
Loris, Ignace, M. Bertero, Christine De Mol, Riccardo Zanella, & Luca Zanni. (2009). Accelerating gradient projection methods forℓ1-constrained signal recovery by steplength selection rules. Applied and Computational Harmonic Analysis. 27(2). 247–254. 43 indexed citations
13.
Benvenuto, Federico, M. Bertero, Silvia Bonettini, Riccardo Zanella, & Luca Zanni. (2009). Gradient Projection Approaches For Optimization Problems In Image Deblurring And Denoising. Zenodo (CERN European Organization for Nuclear Research). 1384–1388. 2 indexed citations
14.
Zanni, Luca, et al.. (2008). New adaptive stepsize selections in gradient methods. Journal of Industrial and Management Optimization. 4(2). 299–312. 99 indexed citations
15.
Bonettini, Silvia, Riccardo Zanella, & Luca Zanni. (2008). A scaled gradient projection method for constrained image deblurring. Inverse Problems. 25(1). 15002–15002. 171 indexed citations
16.
Zanni, Luca, et al.. (2006). Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems. Journal of Machine Learning Research. 7(54). 1467–1492. 61 indexed citations
17.
Ruggiero, Valeria & Luca Zanni. (2000). Variable projection methods for large convex quadratic programs. Institutional Research Information System University of Ferrara (University of Ferrara). 3. 299–313. 6 indexed citations
18.
Ruggiero, Valeria, et al.. (2000). A Random Generator for Large-Scale Linearly Constrained Quadratic Programming Test Problems. Parasitology Research. 113(5). 1657–72. 1 indexed citations
19.
Galligani, Emanuele, Valeria Ruggiero, & Luca Zanni. (1996). Splitting methods for constrained quadratic programs in data analysis. Computers & Mathematics with Applications. 32(5). 1–9. 3 indexed citations
20.
Zanni, Luca. (1994). Convergence properties of a projection method for affine variational inequality problems. SHILAP Revista de lepidopterología. 2 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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