Giacomo Fontanelli

1.4k total citations
56 papers, 1.1k citations indexed

About

Giacomo Fontanelli is a scholar working on Environmental Engineering, Atmospheric Science and Ecology. According to data from OpenAlex, Giacomo Fontanelli has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Environmental Engineering, 26 papers in Atmospheric Science and 21 papers in Ecology. Recurrent topics in Giacomo Fontanelli's work include Soil Moisture and Remote Sensing (38 papers), Remote Sensing in Agriculture (21 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (17 papers). Giacomo Fontanelli is often cited by papers focused on Soil Moisture and Remote Sensing (38 papers), Remote Sensing in Agriculture (21 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (17 papers). Giacomo Fontanelli collaborates with scholars based in Italy, Netherlands and Germany. Giacomo Fontanelli's co-authors include S. Paloscia, E. Santi, S. Pettinato, Leila Guerriero, Nazzareno Pierdicca, Alessandro Betti, Daniela Stroppiana, Paolo Villa, Alejandro Egido and Fabio Maselli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Giacomo Fontanelli

52 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giacomo Fontanelli Italy 17 697 395 371 328 131 56 1.1k
Maxim Neumann United States 18 918 1.3× 342 0.9× 608 1.6× 402 1.2× 254 1.9× 47 1.4k
Pang‐Wei Liu United States 17 749 1.1× 471 1.2× 325 0.9× 172 0.5× 210 1.6× 46 1.2k
Yoann Malbéteau France 19 657 0.9× 425 1.1× 151 0.4× 328 1.0× 332 2.5× 25 1.2k
Françoise Nerry France 24 1.0k 1.5× 664 1.7× 225 0.6× 372 1.1× 501 3.8× 61 1.4k
Wenjian Ni China 21 1.1k 1.6× 185 0.5× 141 0.4× 844 2.6× 538 4.1× 70 1.5k
Xianfeng Jiao Canada 18 726 1.0× 247 0.6× 474 1.3× 796 2.4× 279 2.1× 44 1.4k
Ebrahim Babaeian United States 16 1.0k 1.5× 468 1.2× 58 0.2× 266 0.8× 300 2.3× 25 1.4k
Armando Marino United Kingdom 24 342 0.5× 277 0.7× 1.0k 2.8× 183 0.6× 107 0.8× 139 1.7k
Biao Cao China 22 1.2k 1.7× 806 2.0× 108 0.3× 347 1.1× 564 4.3× 112 1.5k
Kaupo Voormansik Estonia 15 312 0.4× 141 0.4× 269 0.7× 238 0.7× 201 1.5× 24 634

Countries citing papers authored by Giacomo Fontanelli

Since Specialization
Citations

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

Fields of papers citing papers by Giacomo Fontanelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Fontanelli

This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Fontanelli. A scholar is included among the top collaborators of Giacomo Fontanelli 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 Giacomo Fontanelli. Giacomo Fontanelli 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.
Fontanelli, Giacomo, Leonardo Santurri, Enrico Palchetti, et al.. (2025). Integration of Optical and Microwave Satellite Data for Monitoring Vegetation Status in Sorghum Fields. Remote Sensing. 17(9). 1591–1591.
2.
Santi, E., Giacomo Fontanelli, Enrico Palchetti, et al.. (2024). High-Resolution Mapping of Soil Moisture by AMSR2 Data Disaggregation Based on Sentinel-1 and Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 15077–15088.
3.
Fontanelli, Giacomo, Enrico Palchetti, S. Paloscia, et al.. (2024). Soil and Vegetation Water Status Monitoring by Integrating Optical and Microwave Satellite Data. CINECA IRIS Institutional Research Information System (University of Basilicata). 1470–1473. 1 indexed citations
4.
Brogioni, Marco, Mark Andrews, Stefano Urbini, et al.. (2023). Ice Sheet and Sea Ice Ultrawideband Microwave radiometric Airborne eXperiment (ISSIUMAX) in Antarctica: first results from Terra Nova Bay. ˜The œcryosphere. 17(1). 255–278. 2 indexed citations
5.
Pettinato, S., E. Santi, Giacomo Fontanelli, et al.. (2023). Combining the Strong Fluctuation Theory with Rough Soil Models for Improving the Simulation Accuracy of Alpine Snowpacks at C- and X-Bands. CINECA IRIS Institutional Research Information System (University of Basilicata). 9–12.
6.
Santi, E., S. Paloscia, Giacomo Fontanelli, et al.. (2023). Remote sensing techniques for water management and climate change monitoring in drought areas: case studies in Egypt and Tunisia. European Journal of Remote Sensing. 56(1). 8 indexed citations
7.
Betti, Alessandro, et al.. (2022). A multi-stage model based on YOLOv3 for defect detection in PV panels based on IR and visible imaging by unmanned aerial vehicle. Renewable Energy. 193. 941–962. 89 indexed citations
8.
Fontanelli, Giacomo, Alessandro Lapini, Leonardo Santurri, et al.. (2022). Early-Season Crop Mapping on an Agricultural Area in Italy Using X-Band Dual-Polarization SAR Satellite Data and Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 6789–6803. 21 indexed citations
9.
Santi, E., Giacomo Fontanelli, S. Paloscia, et al.. (2022). High Resolution Mapping of Vegetation Biomass and Soil Moisture by Using AMSR2, Sentinel-1 and Machine Learning. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 4943–4946. 1 indexed citations
10.
Paloscia, S., E. Santi, S. Pettinato, et al.. (2022). A Method for Estimating Agricultural Crop Biomass by Using Sar Images at X and C Bands. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 9642. 4947–4950. 1 indexed citations
11.
Santi, E., Marta Chiesi, Giacomo Fontanelli, et al.. (2021). Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy. Remote Sensing. 13(4). 809–809. 5 indexed citations
12.
Fontanelli, Giacomo, et al.. (2021). Assessing Interactions Between Crop Biophysical Parameters and X-Band Backscattering Using Empirical Data and Model Sensitivity Analysis. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 4 indexed citations
13.
Santi, E., Giacomo Fontanelli, Alessandro Lapini, et al.. (2021). Soil moisture mapping at high resolution by merging SMAP, Sentinel1 and COSMO SkyMed with the support of machine learning. 5–5. 2 indexed citations
14.
Cigna, Francesca, Giovanni Cuozzo, Giacomo Fontanelli, et al.. (2021). Biomass retrieval based on genetic algorithm feature selection and support vector regression in Alpine grassland using ground-based hyperspectral and Sentinel-1 SAR data. European Journal of Remote Sensing. 54(1). 209–225. 17 indexed citations
15.
Lapini, Alessandro, S. Pettinato, E. Santi, et al.. (2020). Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas. Remote Sensing. 12(3). 369–369. 45 indexed citations
16.
Fontanelli, Giacomo, et al.. (2020). Google Earth Engine: Application Of Algorithms For Remote Sensing Of Crops In Tuscany (Italy). Zenodo (CERN European Organization for Nuclear Research). 195–200. 14 indexed citations
17.
18.
Santi, E., S. Pettinato, S. Paloscia, et al.. (2014). Monitoring of Alpine snow using satellite radiometers and artificial neural networks. Remote Sensing of Environment. 144. 179–186. 19 indexed citations
19.
Santi, E., S. Paloscia, S. Pettinato, & Giacomo Fontanelli. (2014). A prototype ann based algorithm for the soil moisture retrieval from l- band in view of the incoming SMAP mission. 5–9. 9 indexed citations
20.
Santi, E., Giacomo Fontanelli, S. Pettinato, & A. Crepaz. (2012). Monitoring of snow cover on Italian Alps using AMSR-E and Artificial Neural Networks. 1572–1575. 1 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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