Lorenzo Bruzzone

47.8k total citations · 26 hit papers
722 papers, 36.9k citations indexed

About

Lorenzo Bruzzone is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lorenzo Bruzzone has authored 722 papers receiving a total of 36.9k indexed citations (citations by other indexed papers that have themselves been cited), including 427 papers in Media Technology, 271 papers in Atmospheric Science and 173 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lorenzo Bruzzone's work include Remote-Sensing Image Classification (417 papers), Remote Sensing and Land Use (222 papers) and Remote Sensing in Agriculture (168 papers). Lorenzo Bruzzone is often cited by papers focused on Remote-Sensing Image Classification (417 papers), Remote Sensing and Land Use (222 papers) and Remote Sensing in Agriculture (168 papers). Lorenzo Bruzzone collaborates with scholars based in Italy, China and United States. Lorenzo Bruzzone's co-authors include Francesca Bovolo, Farid Melgani, Gustau Camps‐Valls, D.F. Prieto, Jón Atli Benediktsson, Mattia Marconcini, Claudio Persello, Sebastiano B. Serpico, Begüm Demir and Mauro Dalla Mura and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Lorenzo Bruzzone

695 papers receiving 35.6k citations

Hit Papers

Classification of hyperspectral remote sensing images wit... 2000 2026 2008 2017 2004 2009 2005 2000 2010 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorenzo Bruzzone Italy 91 24.7k 15.4k 9.1k 8.5k 5.6k 722 36.9k
Jón Atli Benediktsson Iceland 92 25.7k 1.0× 16.3k 1.1× 6.6k 0.7× 9.1k 1.1× 4.3k 0.8× 456 34.4k
Antonio Plaza Spain 90 31.1k 1.3× 17.1k 1.1× 5.5k 0.6× 11.6k 1.4× 4.6k 0.8× 711 39.8k
Liangpei Zhang China 116 31.0k 1.3× 15.2k 1.0× 7.7k 0.8× 20.1k 2.4× 5.3k 0.9× 856 49.4k
Jocelyn Chanussot France 91 28.9k 1.2× 11.1k 0.7× 4.1k 0.5× 15.3k 1.8× 4.0k 0.7× 536 37.2k
Qian Du United States 90 25.2k 1.0× 12.7k 0.8× 3.2k 0.4× 10.7k 1.3× 4.9k 0.9× 734 32.8k
Gustau Camps‐Valls Spain 74 10.5k 0.4× 8.2k 0.5× 8.7k 1.0× 3.9k 0.5× 3.2k 0.6× 398 26.5k
Xiuping Jia Australia 62 11.9k 0.5× 6.7k 0.4× 3.2k 0.4× 5.1k 0.6× 2.2k 0.4× 351 17.7k
Pedram Ghamisi Germany 69 11.9k 0.5× 6.9k 0.5× 2.4k 0.3× 4.9k 0.6× 3.0k 0.5× 270 18.5k
Bo Du China 79 11.8k 0.5× 6.0k 0.4× 1.9k 0.2× 8.8k 1.0× 5.3k 0.9× 603 22.3k
Jun Li China 68 12.5k 0.5× 7.2k 0.5× 1.9k 0.2× 5.5k 0.7× 2.4k 0.4× 737 19.9k

Countries citing papers authored by Lorenzo Bruzzone

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Bruzzone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Bruzzone

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Bruzzone. A scholar is included among the top collaborators of Lorenzo Bruzzone 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 Lorenzo Bruzzone. Lorenzo Bruzzone 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.
Zheng, Yongjie, Sicong Liu, Hao Chen, & Lorenzo Bruzzone. (2024). Hybrid FusionNet: A Hybrid Feature Fusion Framework for Multisource High-Resolution Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 8 indexed citations
2.
Marinelli, Daniele, et al.. (2023). Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 6758–6775. 1 indexed citations
3.
Rizzoli, Paola, et al.. (2023). A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 8334–8352. 8 indexed citations
4.
Dalponte, Michele, et al.. (2022). Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 3442–3454. 11 indexed citations
5.
Zhang, Kai, et al.. (2022). Spatial and Spectral Extraction Network With Adaptive Feature Fusion for Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 23 indexed citations
6.
Bruzzone, Lorenzo, et al.. (2022). A Range-Doppler Method for Focusing Radar Sounder Data Generated by Coherent Electromagnetic Simulators. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–19. 3 indexed citations
7.
Liu, Sicong, Hui Zhao, Qian Du, et al.. (2021). Novel Cross-Resolution Feature-Level Fusion for Joint Classification of Multispectral and Panchromatic Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 33 indexed citations
8.
Peng, Daifeng, Haiyan Guan, Yufu Zang, & Lorenzo Bruzzone. (2021). Full-Level Domain Adaptation for Building Extraction in Very-High-Resolution Optical Remote-Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 45 indexed citations
9.
Bruzzone, Lorenzo, et al.. (2021). Spectral-Spatial Genetic Algorithm-Based Unsupervised Band Selection for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 59(11). 9616–9632. 37 indexed citations
10.
Zhang, Jing, Shaofu Lin, Lei Ding, & Lorenzo Bruzzone. (2020). Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images. Remote Sensing. 12(4). 701–701. 133 indexed citations
11.
Paris, Claudia, Mattia Callegari, Carlo Marín, et al.. (2020). Integrating Models and Remote Sensing Data for Distributed Glacier Mass Balance Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 6177–6194. 5 indexed citations
12.
Saha, Sudipan, Lichao Mou, Chunping Qiu, et al.. (2020). Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution Images. IEEE Transactions on Geoscience and Remote Sensing. 58(12). 8780–8792. 45 indexed citations
13.
Ding, Lei, Jing Zhang, & Lorenzo Bruzzone. (2020). Semantic Segmentation of Large-Size VHR Remote Sensing Images Using a Two-Stage Multiscale Training Architecture. IEEE Transactions on Geoscience and Remote Sensing. 58(8). 5367–5376. 125 indexed citations
14.
Paris, Claudia, Lorenzo Bruzzone, & Diego Fernández‐Prieto. (2019). A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4259–4277. 36 indexed citations
15.
Marinelli, Daniele, Claudia Paris, & Lorenzo Bruzzone. (2019). An Approach to Tree Detection Based on the Fusion of Multitemporal LiDAR Data. IEEE Geoscience and Remote Sensing Letters. 16(11). 1771–1775. 11 indexed citations
16.
Bovolo, Francesca, et al.. (2018). A Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing. 57(2). 1168–1182. 36 indexed citations
17.
Paris, Claudia, José M. Bioucas‐Dias, & Lorenzo Bruzzone. (2018). A Novel Sharpening Approach for Superresolving Multiresolution Optical Images. IEEE Transactions on Geoscience and Remote Sensing. 57(3). 1545–1560. 27 indexed citations
18.
Demir, Begüm, et al.. (2018). A Novel System for Content-Based Retrieval of Single and Multi-Label High-Dimensional Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(7). 2473–2490. 49 indexed citations
19.
Patra, Swarnajyoti, et al.. (2017). A Spectral-Spatial Multicriteria Active Learning Technique for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(12). 5213–5227. 40 indexed citations
20.
Lu, Ting, Shutao Li, Leyuan Fang, Lorenzo Bruzzone, & Jón Atli Benediktsson. (2016). Set-to-Set Distance-Based Spectral–Spatial Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 54(12). 7122–7134. 52 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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