Andrea Nascetti

1.9k total citations
71 papers, 1.3k citations indexed

About

Andrea Nascetti is a scholar working on Global and Planetary Change, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, Andrea Nascetti has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 25 papers in Aerospace Engineering and 23 papers in Atmospheric Science. Recurrent topics in Andrea Nascetti's work include Synthetic Aperture Radar (SAR) Applications and Techniques (20 papers), Satellite Image Processing and Photogrammetry (16 papers) and Remote-Sensing Image Classification (14 papers). Andrea Nascetti is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (20 papers), Satellite Image Processing and Photogrammetry (16 papers) and Remote-Sensing Image Classification (14 papers). Andrea Nascetti collaborates with scholars based in Sweden, Italy and China. Andrea Nascetti's co-authors include Yifang Ban, Mattia Crespi, Puzhao Zhang, Roberta Ravanelli, Sebastian Häfner, Xikun Hu, Michael A. Wulder, Alexandre Bevington, Francesca Fratarcangeli and Osama Yousif and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Andrea Nascetti

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Nascetti Sweden 19 625 407 390 269 258 71 1.3k
Marc Wieland Germany 22 825 1.3× 244 0.6× 368 0.9× 430 1.6× 355 1.4× 52 1.6k
F. Sunar Türkiye 18 522 0.8× 405 1.0× 379 1.0× 378 1.4× 267 1.0× 63 1.5k
Bo Yu China 20 527 0.8× 234 0.6× 240 0.6× 321 1.2× 326 1.3× 80 1.3k
Füsun Balık Şanlı Türkiye 20 428 0.7× 440 1.1× 445 1.1× 266 1.0× 238 0.9× 83 1.3k
Fuan Tsai Taiwan 16 259 0.4× 502 1.2× 245 0.6× 267 1.0× 396 1.5× 76 1.4k
Xianju Li China 23 335 0.5× 376 0.9× 315 0.8× 359 1.3× 756 2.9× 51 1.8k
R. S. Dwivedi India 24 588 0.9× 548 1.3× 721 1.8× 293 1.1× 201 0.8× 91 1.8k
Ahmed Shaker Canada 24 419 0.7× 709 1.7× 1.3k 3.3× 188 0.7× 278 1.1× 81 2.0k

Countries citing papers authored by Andrea Nascetti

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Nascetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Nascetti

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Nascetti. A scholar is included among the top collaborators of Andrea Nascetti 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 Andrea Nascetti. Andrea Nascetti 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.
Nascetti, Andrea, et al.. (2024). How high are we? Large-scale building height estimation at 10 m using Sentinel-1 SAR and Sentinel-2 MSI time series. Remote Sensing of Environment. 318. 114556–114556. 6 indexed citations
2.
Häfner, Sebastian, Yifang Ban, & Andrea Nascetti. (2023). Investigating Imbalances Between SAR and Optical Utilization for Multi-Modal Urban Mapping. 1–4. 1 indexed citations
3.
Nascetti, Andrea, et al.. (2023). Land Use and Land Cover Mapping with VHR and Multi-Temporal Sentinel-2 Imagery. Remote Sensing. 15(10). 2501–2501. 22 indexed citations
4.
Häfner, Sebastian, Yifang Ban, & Andrea Nascetti. (2023). Semi-Supervised Urban Change Detection Using Multi-Modal Sentinel-1 SAR and Sentinel-2 MSI Data. Remote Sensing. 15(21). 5135–5135. 10 indexed citations
5.
Ravanelli, Roberta, et al.. (2023). Crack Monitoring from Motion (CMfM): Crack detection and measurement using cameras with non-fixed positions. Automation in Construction. 156. 105072–105072. 13 indexed citations
6.
Zhang, Puzhao, Yifang Ban, & Andrea Nascetti. (2023). Total-variation regularized U-Net for wildfire burned area mapping based on Sentinel-1 C-Band SAR backscattering data. ISPRS Journal of Photogrammetry and Remote Sensing. 203. 301–313. 10 indexed citations
7.
Nascetti, Andrea, et al.. (2023). Context-Aware Change Detection with Semi-Supervised Learning. 5754–5757. 1 indexed citations
8.
Nascetti, Andrea, et al.. (2022). A NEURAL NETWORK REGRESSION MODEL FOR ESTIMATING MAXIMUM DAILY AIR TEMPERATURE USING LANDSAT-8 DATA. SHILAP Revista de lepidopterología. XLIII-B3-2022. 1273–1278. 1 indexed citations
9.
Häfner, Sebastian, Andrea Nascetti, Hossein Azizpour, & Yifang Ban. (2021). Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 49 indexed citations
10.
Ban, Yifang, et al.. (2021). Early Detection of Wildfires with GOES-R Time-Series and Deep GRU Network. 3765–3768. 2 indexed citations
11.
Hu, Xikun, Yifang Ban, & Andrea Nascetti. (2021). Uni-Temporal Multispectral Imagery for Burned Area Mapping with Deep Learning. Remote Sensing. 13(8). 1509–1509. 64 indexed citations
12.
Ban, Yifang, Puzhao Zhang, Andrea Nascetti, Alexandre Bevington, & Michael A. Wulder. (2020). Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning. Scientific Reports. 10(1). 1322–1322. 181 indexed citations
13.
Tullio, Marco Di, et al.. (2020). COSMO-SkyMed Range Measurements for Displacement Monitoring Using Amplitude Persistent Scatterers. IRIS Research product catalog (Sapienza University of Rome). xli b7. 2495–2498.
14.
Crespi, Mattia, et al.. (2019). Foreword to the European journal of remote sensing special issue: urban remote sensing – challenges and solutions. European Journal of Remote Sensing. 52(sup2). 1–1. 3 indexed citations
15.
16.
Dubois, Clémence, Andrea Nascetti, Antje Thiele, Mattia Crespi, & Stefan Hinz. (2017). SAR-SIFT for Matching Multiple SAR Images and Radargrammetry. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 85(3). 149–158. 9 indexed citations
17.
Nascetti, Andrea, et al.. (2017). FREE GLOBAL DSM ASSESSMENT ON LARGE SCALE AREAS EXPLOITING THE POTENTIALITIES OF THE INNOVATIVE GOOGLE EARTH ENGINE PLATFORM. SHILAP Revista de lepidopterología. XLII-1/W1. 627–633. 11 indexed citations
18.
19.
Nascetti, Andrea, et al.. (2015). Unsupervised flood extent detection from SAR imagery applying shadow filtering from SAR simulated image. 2707–2710. 13 indexed citations
20.
Crespi, Mattia, et al.. (2011). High-Resolution SAR Radargrammetry: A First Application With COSMO-SkyMed SpotLight Imagery. IEEE Geoscience and Remote Sensing Letters. 8(6). 1100–1104. 42 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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