Alessandro Lanza

4.5k total citations
115 papers, 3.0k citations indexed

About

Alessandro Lanza is a scholar working on Economics and Econometrics, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Alessandro Lanza has authored 115 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Economics and Econometrics, 44 papers in Computer Vision and Pattern Recognition and 17 papers in Computational Mechanics. Recurrent topics in Alessandro Lanza's work include Image and Signal Denoising Methods (22 papers), Sparse and Compressive Sensing Techniques (17 papers) and Climate Change Policy and Economics (13 papers). Alessandro Lanza is often cited by papers focused on Image and Signal Denoising Methods (22 papers), Sparse and Compressive Sensing Techniques (17 papers) and Climate Change Policy and Economics (13 papers). Alessandro Lanza collaborates with scholars based in Italy, United States and Saudi Arabia. Alessandro Lanza's co-authors include Marzio Galeotti, Matteo Manera, Francesco Pauli, Francesco Pigliaru, Fiorella Sgallari, Serena Morigi, Rinaldo Brau, Giovanni Urga, Paul Temple and Luigi Di Stefano and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Energy Policy and Tourism Management.

In The Last Decade

Alessandro Lanza

104 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Lanza Italy 28 1.8k 697 550 482 373 115 3.0k
Guo Wei China 33 677 0.4× 112 0.2× 301 0.5× 366 0.8× 248 0.7× 147 3.4k
Mei Sun China 29 1.2k 0.7× 698 1.0× 173 0.3× 528 1.1× 25 0.1× 146 2.9k
Siem Jan Koopman Netherlands 46 3.9k 2.2× 285 0.4× 133 0.2× 169 0.4× 93 0.2× 243 7.4k
Han Hong Canada 42 1.6k 0.9× 50 0.1× 244 0.4× 996 2.1× 57 0.2× 297 7.9k
Mike West United States 8 1.6k 0.9× 142 0.2× 115 0.2× 168 0.3× 60 0.2× 19 3.9k
Georg Ch. Pflug Austria 29 798 0.4× 80 0.1× 292 0.5× 83 0.2× 32 0.1× 171 4.3k
Da Zhang China 32 1.1k 0.6× 725 1.0× 154 0.3× 889 1.8× 336 0.9× 168 3.7k
Edward W. Frees United States 30 2.0k 1.1× 245 0.4× 217 0.4× 152 0.3× 25 0.1× 91 4.4k
Vijay Modi United States 35 331 0.2× 813 1.2× 190 0.3× 508 1.1× 30 0.1× 142 4.4k
Wei Chu China 35 2.0k 1.1× 1.1k 1.6× 154 0.3× 1.4k 2.9× 36 0.1× 144 4.4k

Countries citing papers authored by Alessandro Lanza

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Lanza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Lanza

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Lanza. A scholar is included among the top collaborators of Alessandro Lanza 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 Alessandro Lanza. Alessandro Lanza 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.
Lanza, Alessandro, Antonio Leaci, Serena Morigi, & Franco Tomarelli. (2025). Symmetrised fractional variation with L1 fidelity for signal denoising via Grünwald-Letnikov scheme. Applied Mathematics and Computation. 500. 129429–129429.
2.
3.
Lanza, Alessandro, et al.. (2023). Parameter-free restoration of piecewise smooth images. ETNA - Electronic Transactions on Numerical Analysis. 59. 202–229. 3 indexed citations
4.
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
5.
Lanza, Alessandro, et al.. (2023). Masked unbiased principles for parameter selection in variational image restoration under Poisson noise. Inverse Problems. 39(3). 34002–34002. 3 indexed citations
6.
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
7.
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
8.
Lanza, Alessandro, et al.. (2019). A convex-nonconvex variational method for the additive decomposition of functions on surfaces. Inverse Problems. 35(12). 124008–124008. 11 indexed citations
9.
Lanza, Alessandro, et al.. (2018). Convex non-convex segmentation of scalar fields over arbitrary triangulated surfaces. Journal of Computational and Applied Mathematics. 349. 438–451. 7 indexed citations
10.
Carraro, Carlo, Alessandro Lanza, & Massimo Tavoni. (2014). All You Need to Know About the IPCC 5th Assessment Report. Mitigation of Climate Change. RePEc: Research Papers in Economics. 3 indexed citations
11.
Lanza, Alessandro, Serena Morigi, & Fiorella Sgallari. (2014). Variational Image Restoration with Constraints on Noise Whiteness. Journal of Mathematical Imaging and Vision. 53(1). 61–77. 7 indexed citations
12.
Magno, Michele, Alessandro Lanza, Davide Brunelli, Luigi Di Stefano, & Luca Benini. (2010). Energy aware multimodal embedded video surveillance. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2. 264–269. 2 indexed citations
13.
Lanza, Alessandro, Federico Tombari, & Luigi Di Stefano. (2010). Accurate and Efficient Background Subtraction by Monotonic Second-Degree Polynomial Fitting. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 376–383. 4 indexed citations
14.
Ortiz, Ramón Arigoni, Andrea Bastianin, Andrea Bigano, et al.. (2009). Energy efficiency in Europe: trends, convergence and policy effectiveness. RePEc: Research Papers in Economics. 6 indexed citations
15.
Brau, Rinaldo, Alessandro Lanza, & Stefano Usaï. (2008). Tourism And Sustainable Economic Development Macroeconomic Models and Empirical Methods. Edward Elgar eBooks. 11 indexed citations
16.
Stefano, Luigi Di, et al.. (2008). Graffiti Detection Using Two Views. SPIRE - Sciences Po Institutional REpository. 22(1). 1–8. 5 indexed citations
17.
Eugenio-Martin, Juan L., et al.. (2008). Linking environmental quality changes and tourism demand with the repeat visits method.. 191–216. 3 indexed citations
18.
Brau, Rinaldo, Alessandro Lanza, & Francesco Pigliaru. (2007). How Fast are Small Tourism Countries Growing? Evidence from the Data for 1980–2003. RePEc: Research Papers in Economics. 1 indexed citations
19.
Carraro, Carlo, et al.. (2003). One Thousand Working Papers. SSRN Electronic Journal. 1 indexed citations
20.
Lanza, Alessandro, Paul Temple, & Giovanni Urga. (2003). The implications of tourism specialisation in the long run: an econometric analysis for 13 OECD economies. Tourism Management. 24(3). 315–321. 171 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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