Francesco Nutini

1.2k total citations
31 papers, 908 citations indexed

About

Francesco Nutini is a scholar working on Ecology, Plant Science and Global and Planetary Change. According to data from OpenAlex, Francesco Nutini has authored 31 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 11 papers in Plant Science and 11 papers in Global and Planetary Change. Recurrent topics in Francesco Nutini's work include Remote Sensing in Agriculture (18 papers), Land Use and Ecosystem Services (6 papers) and Smart Agriculture and AI (5 papers). Francesco Nutini is often cited by papers focused on Remote Sensing in Agriculture (18 papers), Land Use and Ecosystem Services (6 papers) and Smart Agriculture and AI (5 papers). Francesco Nutini collaborates with scholars based in Italy, Spain and Philippines. Francesco Nutini's co-authors include Mirco Boschetti, Pietro Alessandro Brivio, Giacinto Manfron, Andrew Nelson, Lorenzo Busetto, Alberto Crema, Luigi Ranghetti, Manuel Campos‐Taberner, Francisco Javier Garcı́a-Haro and Gustau Camps‐Valls and has published in prestigious journals such as PLoS ONE, Remote Sensing of Environment and Sensors.

In The Last Decade

Francesco Nutini

29 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Nutini Italy 15 622 389 320 262 164 31 908
Claire G. Boryan United States 9 735 1.2× 461 1.2× 327 1.0× 255 1.0× 184 1.1× 26 1.1k
Jihua Meng China 18 736 1.2× 463 1.2× 329 1.0× 324 1.2× 226 1.4× 47 1.1k
Sibylle Itzerott Germany 15 513 0.8× 265 0.7× 296 0.9× 211 0.8× 135 0.8× 34 826
Margareth Simões Brazil 12 474 0.8× 352 0.9× 179 0.6× 195 0.7× 140 0.9× 30 813
Fábio Marcelo Breunig Brazil 13 579 0.9× 316 0.8× 333 1.0× 174 0.7× 71 0.4× 62 747
Raphaël d’Andrimont Italy 15 683 1.1× 414 1.1× 340 1.1× 276 1.1× 222 1.4× 38 1.2k
Julie Betbeder France 18 840 1.4× 507 1.3× 467 1.5× 252 1.0× 232 1.4× 39 1.3k
Hitoshi Toritani Japan 8 645 1.0× 419 1.1× 240 0.8× 252 1.0× 220 1.3× 21 895
Herman Eerens Belgium 12 595 1.0× 543 1.4× 232 0.7× 170 0.6× 161 1.0× 25 877
Valentine Lebourgeois France 11 668 1.1× 333 0.9× 290 0.9× 386 1.5× 136 0.8× 18 968

Countries citing papers authored by Francesco Nutini

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Nutini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Nutini

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Nutini. A scholar is included among the top collaborators of Francesco Nutini 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 Francesco Nutini. Francesco Nutini 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.
Manunza, Arianna, Tania Bobbo, Francesco Nutini, et al.. (2025). Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production. Insects. 16(3). 278–278. 1 indexed citations
2.
Candiani, Gabriele, Francesco Nutini, Federico Carotenuto, et al.. (2024). Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA and Dimensionality Reduction Techniques for Transferring Hyperspectral Proximal-Based Model to Airborne Images. Remote Sensing. 16(3). 492–492. 2 indexed citations
3.
Candiani, Gabriele, et al.. (2024). Crop Traits Retrival from Prisma Imagery with Machine Learning: A Comparison of Data Driven and Hybrid Approach with a Multi-Year Multi-Crop Dataset. IRIS Research product catalog (Sapienza University of Rome). 1–5.
4.
Satalino, Giuseppe, Anna Balenzano, Francesco Lovergine, et al.. (2024). Copernicus Sentinels For Tillage Change Detection. 1249–1252.
5.
Mattia, Francesco, Anna Balenzano, Giuseppe Satalino, et al.. (2023). Earth Observation Retrieval and Classification Algorithms for Agriculture. 1428–1431. 2 indexed citations
6.
Candiani, Gabriele, et al.. (2022). Sentinel-2 estimation of CNC and LAI in rice cropping system through hybrid approach modelling. European Journal of Remote Sensing. 56(1). 14 indexed citations
7.
Tagliabue, Giulia, Mirco Boschetti, Gabriele Candiani, et al.. (2022). Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 187. 362–377. 84 indexed citations
8.
Pepe, Monica, L. Pompilio, Luigi Ranghetti, Francesco Nutini, & Mirco Boschetti. (2022). Mapping spatial distribution of crop residues using PRISMA satellite imaging spectroscopy. European Journal of Remote Sensing. 56(1). 14 indexed citations
9.
10.
Nutini, Francesco, Roberto Confalonieri, Livia Paleari, et al.. (2021). Supporting operational site‐specific fertilization in rice cropping systems with infield smartphone measurements and Sentinel-2 observations. Precision Agriculture. 22(4). 1284–1303. 21 indexed citations
11.
Crema, Alberto, et al.. (2019). Interaction between soil variability and maize nitrogen status assessment from Sentinel-2. 453–459. 2 indexed citations
12.
Nutini, Francesco, Daniela Stroppiana, Lorenzo Busetto, et al.. (2017). A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions. Sensors. 17(6). 1338–1338. 5 indexed citations
13.
Campos‐Taberner, Manuel, Francisco Javier Garcı́a-Haro, Gustau Camps‐Valls, et al.. (2017). Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index. Remote Sensing. 9(3). 248–248. 58 indexed citations
14.
Campos‐Taberner, Manuel, Francisco Javier Garcı́a-Haro, Gustau Camps‐Valls, et al.. (2016). Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring. Remote Sensing of Environment. 187. 102–118. 164 indexed citations
15.
Boschetti, Mirco, Lorenzo Busetto, Francesco Nutini, et al.. (2015). Assimilating seasonality information derived from satellite data time series in crop modelling for rice yield estimation. 8531. 157–160. 4 indexed citations
16.
Boschetti, Mirco, Andrew Nelson, Francesco Nutini, et al.. (2015). Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan. Remote Sensing. 7(6). 6535–6557. 27 indexed citations
17.
Nutini, Francesco, Mirco Boschetti, Gabriele Candiani, Stefano Bocchi, & Pietro Alessandro Brivio. (2014). Evaporative Fraction as an Indicator of Moisture Condition and Water Stress Status in Semi-Arid Rangeland Ecosystems. Remote Sensing. 6(7). 6300–6323. 32 indexed citations
18.
Boschetti, Mirco, Francesco Nutini, Giacinto Manfron, Pietro Alessandro Brivio, & Andrew Nelson. (2014). Comparative Analysis of Normalised Difference Spectral Indices Derived from MODIS for Detecting Surface Water in Flooded Rice Cropping Systems. PLoS ONE. 9(2). e88741–e88741. 170 indexed citations
19.
Nutini, Francesco, et al.. (2013). Land-use and land-cover change detection in a semi-arid area of Niger using multi-temporal analysis of Landsat images. International Journal of Remote Sensing. 34(13). 4769–4790. 47 indexed citations
20.
Boschetti, Mirco, Francesco Nutini, Pietro Alessandro Brivio, Étienne Bartholomé, & Daniela Stroppiana. (2010). Contribution of earth observation data to Congo River basin hydrology understanding. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7824. 78241C–78241C. 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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