Leandro Chiarantini

1.2k total citations · 1 hit paper
28 papers, 856 citations indexed

About

Leandro Chiarantini is a scholar working on Media Technology, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Leandro Chiarantini has authored 28 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Media Technology, 9 papers in Environmental Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Leandro Chiarantini's work include Remote-Sensing Image Classification (12 papers), Remote Sensing in Agriculture (5 papers) and Calibration and Measurement Techniques (5 papers). Leandro Chiarantini is often cited by papers focused on Remote-Sensing Image Classification (12 papers), Remote Sensing in Agriculture (5 papers) and Calibration and Measurement Techniques (5 papers). Leandro Chiarantini collaborates with scholars based in Italy, United Kingdom and United States. Leandro Chiarantini's co-authors include Massimo Selva, Francesco Butera, Stefano Baronti, Bruno Aiazzi, Peter Coppo, Guido Luzi, Luciano Alparone, D. Tarchi, H. Rudolf and A.J. Sieber and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

Leandro Chiarantini

25 papers receiving 816 citations

Hit Papers

The PRISMA imaging spectroscopy mission: overview and fir... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leandro Chiarantini Italy 12 389 218 187 180 175 28 856
Sidnei J. S. Sant’Anna Brazil 14 339 0.9× 329 1.5× 110 0.6× 530 2.9× 191 1.1× 78 1.1k
W. Kleynhans South Africa 18 253 0.7× 131 0.6× 139 0.7× 266 1.5× 162 0.9× 76 905
Β. Zhukov Russia 12 342 0.9× 167 0.8× 188 1.0× 136 0.8× 111 0.6× 63 962
B. Forster Australia 13 292 0.8× 184 0.8× 158 0.8× 229 1.3× 111 0.6× 39 706
Xiaoshuang Ma China 17 375 1.0× 269 1.2× 207 1.1× 251 1.4× 389 2.2× 44 1.1k
J.P. Rudant France 10 207 0.5× 211 1.0× 152 0.8× 310 1.7× 52 0.3× 38 699
D. Oertel Germany 14 347 0.9× 182 0.8× 234 1.3× 163 0.9× 109 0.6× 63 1.0k
Donato Amitrano Italy 15 209 0.5× 193 0.9× 233 1.2× 192 1.1× 64 0.4× 51 747
P. Dewaele Belgium 4 249 0.6× 125 0.6× 93 0.5× 178 1.0× 404 2.3× 6 784
Zhiheng Liu China 14 199 0.5× 174 0.8× 74 0.4× 57 0.3× 138 0.8× 43 678

Countries citing papers authored by Leandro Chiarantini

Since Specialization
Citations

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

Fields of papers citing papers by Leandro Chiarantini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leandro Chiarantini

This figure shows the co-authorship network connecting the top 25 collaborators of Leandro Chiarantini. A scholar is included among the top collaborators of Leandro Chiarantini 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 Leandro Chiarantini. Leandro Chiarantini 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.
Meygret, Aimé, Ettore Lopinto, Leandro Chiarantini, et al.. (2024). PRISMA calibration based on natural targets. 34–34.
2.
Lopinto, Ettore, Luca Fasano, Francesco Longo, et al.. (2021). Current Status and Future Perspectives of the PRISMA Mission at the Turn of One Year in Operational Usage. BOA (University of Milano-Bicocca). 45. 1380–1383. 4 indexed citations
3.
Cogliati, Sergio, Francesco Sarti, Leandro Chiarantini, et al.. (2021). The PRISMA imaging spectroscopy mission: overview and first performance analysis. Remote Sensing of Environment. 262. 112499–112499. 206 indexed citations breakdown →
6.
Ciampalini, Andrea, Frédéric André, Francesca Garfagnoli, et al.. (2015). Improved estimation of soil clay content by the fusion of remote hyperspectral and proximal geophysical sensing. Journal of Applied Geophysics. 116. 135–145. 29 indexed citations
7.
Cucci, Costanza, et al.. (2015). Hyperspectral remote sensing techniques applied to the noninvasive investigation of mural paintings: a feasibility study carried out on a wall painting by Beato Angelico in Florence. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9527. 95270P–95270P. 9 indexed citations
8.
Selva, Massimo, Bruno Aiazzi, Francesco Butera, Leandro Chiarantini, & Stefano Baronti. (2015). Hyper-Sharpening: A First Approach on SIM-GA Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(6). 3008–3024. 210 indexed citations
9.
Garfagnoli, Francesca, Andrea Ciampalini, Sandro Moretti, Leandro Chiarantini, & Silvia Vettori. (2013). Quantitative mapping of clay minerals using airborne imaging spectroscopy: new data on Mugello (Italy) from SIM-GA prototypal sensor. European Journal of Remote Sensing. 46(1). 1–17. 15 indexed citations
10.
Coppo, Peter, Leandro Chiarantini, & Luciano Alparone. (2013). End-to-End Image Simulator for Optical Imaging Systems: Equations and Simulation Examples. Florence Research (University of Florence). 2013. 1–23. 18 indexed citations
11.
Coppo, Peter, Leandro Chiarantini, & Luciano Alparone. (2013). Validation and simulation examples of an end-to-end simulator for optical imaging systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8889. 88891N–88891N. 3 indexed citations
12.
Garfagnoli, Francesca, Andrea Ciampalini, Sandro Moretti, & Leandro Chiarantini. (2012). DETECTING CLAY MINERALS IN SOILS THROUGH HYPERSPECTRAL REMOTE SENSING.
13.
Coppo, Peter, Leandro Chiarantini, & Luciano Alparone. (2012). Design and validation of an end-to-end simulator for imaging spectrometers. Optical Engineering. 51(11). 111721–1. 10 indexed citations
14.
Aiazzi, Bruno, Luciano Alparone, Stefano Baronti, et al.. (2011). Benefits of signal-dependent noise reduction for spectral analysis of data from advanced imaging spectrometers. Florence Research (University of Florence). 1–4. 11 indexed citations
15.
Camaiti, Mara, Marco Benvenuti, Leandro Chiarantini, et al.. (2010). Hyperspectral sensors and the conservation of monumental buildings. EGUGA. 4575.
16.
Alparone, Luciano, Massimo Selva, Luca Capobianco, et al.. (2009). Quality assessment of data products from a new generation airborne imaging spectrometer. Florence Research (University of Florence). IV–422. 16 indexed citations
17.
Grandjean, Gilles, Olivier Cerdan, Guy Richard, et al.. (2008). DIGISOIL: an integrated system of data collection technologies for mapping soil properties. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
18.
Paloscia, S., et al.. (2005). Multifrequency Microwave Radionetric Measurements Of Soil Moisture. ge 20. 1837–1840. 2 indexed citations
19.
Cossu, Raffaello, et al.. (1997). Biogas emissions measurement using static and dynamic flux chambers and infrared method. 103–114. 5 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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