Massimo Zanetti

556 total citations
21 papers, 402 citations indexed

About

Massimo Zanetti is a scholar working on Media Technology, Ecology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Massimo Zanetti has authored 21 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Media Technology, 8 papers in Ecology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Massimo Zanetti's work include Remote-Sensing Image Classification (10 papers), Remote Sensing in Agriculture (8 papers) and Medical Image Segmentation Techniques (4 papers). Massimo Zanetti is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Remote Sensing in Agriculture (8 papers) and Medical Image Segmentation Techniques (4 papers). Massimo Zanetti collaborates with scholars based in Italy, Germany and China. Massimo Zanetti's co-authors include Lorenzo Bruzzone, Francesca Bovolo, Sicong Liu, Peijun Du, Valeria Ruggiero, Alfonso Vitti, Daniele Marinelli, Michele Miranda, Federico Mento and Leonardo Carrer and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Massimo Zanetti

20 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Zanetti Italy 9 239 186 119 57 54 21 402
Qizhong Lin China 9 53 0.2× 32 0.2× 20 0.2× 17 0.3× 83 1.5× 36 282
Stefan Livens Belgium 8 93 0.4× 77 0.4× 109 0.9× 164 2.9× 39 0.7× 28 452
Françoise Viallefont-Robinet France 10 68 0.3× 54 0.3× 67 0.6× 36 0.6× 35 0.6× 20 369
Taylor Glenn United States 6 181 0.8× 97 0.5× 50 0.4× 73 1.3× 75 1.4× 15 305
Fanqiang Lin China 4 199 0.8× 120 0.6× 75 0.6× 117 2.1× 53 1.0× 11 411
Shuli Cheng China 10 432 1.8× 251 1.3× 123 1.0× 171 3.0× 76 1.4× 25 612
Saimin Zhang China 4 197 0.8× 119 0.6× 74 0.6× 108 1.9× 46 0.9× 8 374
Fengkai Lang China 9 234 1.0× 89 0.5× 21 0.2× 114 2.0× 26 0.5× 24 459
Xiao Xiang Zhu Germany 12 138 0.6× 57 0.3× 26 0.2× 99 1.7× 75 1.4× 34 339
Lucas Drumetz France 11 262 1.1× 174 0.9× 57 0.5× 50 0.9× 48 0.9× 38 402

Countries citing papers authored by Massimo Zanetti

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Zanetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Zanetti

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Zanetti. A scholar is included among the top collaborators of Massimo Zanetti 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 Massimo Zanetti. Massimo Zanetti 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.
Zanetti, Massimo, et al.. (2024). Instantaneous infrastructure monitoring by Earth observation: SAR-based railway obstacle detection. Institutional Research Information System (Università degli Studi di Trento). 38–38. 1 indexed citations
2.
Zanetti, Massimo, et al.. (2024). Time Series Directional Change Vector Analysis. Institutional Research Information System (Università degli Studi di Trento). 8683–8686.
3.
Zanetti, Massimo. (2023). A One-Class Classification Model for Burned-Area Detection Based on Mutual Ordering of Normalized Differences. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 1 indexed citations
4.
Bovolo, Francesca, et al.. (2023). A theoretical framework for unsupervised land cover change detection in dense satellite image time series. Institutional Research Information System (Università degli Studi di Trento). 385. 11–11. 1 indexed citations
5.
Zanetti, Massimo, Sudipan Saha, Daniele Marinelli, et al.. (2021). A System for Burned Area Detection on Multispectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 9 indexed citations
6.
Carrer, Leonardo, Elena Donini, Daniele Marinelli, et al.. (2020). Automatic Pleural Line Extraction and COVID-19 Scoring From Lung Ultrasound Data. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(11). 2207–2217. 60 indexed citations
7.
Zanetti, Massimo, Daniele Marinelli, Sudipan Saha, et al.. (2019). A high resolution burned area detector for Sentinel-2 and Landsat-8. Institutional Research Information System (Università degli Studi di Trento). 7 indexed citations
8.
Ruggiero, Valeria, et al.. (2018). Roof planes detection via a second-order variational model. ISPRS Journal of Photogrammetry and Remote Sensing. 138. 101–120. 10 indexed citations
9.
Zanetti, Massimo, Lorenzo Bruzzone, & Diego Fernández‐Prieto. (2018). A Multivariate Change Vector Analysis System for Unsupervised Detection of Clear-Cuts in Sentinel-2 Time Series of the Indonesian Forest. Institutional Research Information System (Università degli Studi di Trento). 1942–1945. 1 indexed citations
10.
Zanetti, Massimo & Lorenzo Bruzzone. (2017). Piecewise Linear Approximation of Vector-Valued Images and Curves via Second-Order Variational Model. IEEE Transactions on Image Processing. 26(9). 4414–4429. 2 indexed citations
11.
Zanetti, Massimo & Lorenzo Bruzzone. (2017). A Theoretical Framework for Change Detection Based on a Compound Multiclass Statistical Model of the Difference Image. IEEE Transactions on Geoscience and Remote Sensing. 56(2). 1129–1143. 38 indexed citations
12.
Zanella, Riccardo, Federica Porta, Valeria Ruggiero, & Massimo Zanetti. (2017). Serial and parallel approaches for image segmentation by numerical minimization of a second-order functional. Applied Mathematics and Computation. 318. 153–175. 3 indexed citations
13.
Bruzzone, Lorenzo, Francesca Bovolo, Claudia Paris, et al.. (2017). Analysis of multitemporal Sentinel-2 images in the framework of the ESA Scientific Exploitation of Operational Missions. Institutional Research Information System (Università degli Studi di Trento). 14 indexed citations
14.
Zanetti, Massimo, Valeria Ruggiero, & Michele Miranda. (2016). Numerical minimization of a second-order functional for image segmentation. Communications in Nonlinear Science and Numerical Simulation. 36. 528–548. 17 indexed citations
15.
Zanetti, Massimo & Lorenzo Bruzzone. (2016). A generalized statistical model for binary change detection in multispectral images. Institutional Research Information System (Università degli Studi di Trento). 3378–3381. 6 indexed citations
16.
Zanetti, Massimo, Riccardo Zanella, & Lorenzo Bruzzone. (2016). A tiling procedure for second-order variational segmentation of large size remote sensing images. Institutional Research Information System (Università degli Studi di Trento). 6902–6905. 1 indexed citations
17.
Zanetti, Massimo, Francesca Bovolo, & Lorenzo Bruzzone. (2015). Rayleigh-Rice Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images. IEEE Transactions on Image Processing. 24(12). 5004–5016. 74 indexed citations
18.
Liu, Sicong, Lorenzo Bruzzone, Francesca Bovolo, Massimo Zanetti, & Peijun Du. (2015). Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 53(8). 4363–4378. 145 indexed citations
19.
Zanetti, Massimo & Lorenzo Bruzzone. (2014). Edge-crease detection and surface reconstruction from point clouds using a second-order variational model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9244. 924409–924409. 2 indexed citations
20.
Zanetti, Massimo & Alfonso Vitti. (2013). The Blake-Zisserman model for digital surface models segmentation. SHILAP Revista de lepidopterología. II-5/W2. 355–360. 9 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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