Gabriele Candiani

1.2k total citations
37 papers, 899 citations indexed

About

Gabriele Candiani is a scholar working on Ecology, Environmental Engineering and Media Technology. According to data from OpenAlex, Gabriele Candiani has authored 37 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 12 papers in Environmental Engineering and 11 papers in Media Technology. Recurrent topics in Gabriele Candiani's work include Remote Sensing in Agriculture (15 papers), Remote-Sensing Image Classification (11 papers) and Spectroscopy and Chemometric Analyses (9 papers). Gabriele Candiani is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Remote-Sensing Image Classification (11 papers) and Spectroscopy and Chemometric Analyses (9 papers). Gabriele Candiani collaborates with scholars based in Italy, Spain and United States. Gabriele Candiani's co-authors include Claudia Giardino, Niklas Strömbeck, Vittorio Brando, Arnold G. Dekker, Monica Pepe, Mirco Boschetti, Mariano Bresciani, Cinzia Panigada, Zhongping Lee and Francesco Nutini and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Gabriele Candiani

34 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriele Candiani Italy 15 349 284 233 203 197 37 899
Vitor S. Martins United States 19 469 1.3× 245 0.9× 282 1.2× 172 0.8× 224 1.1× 39 1.2k
Sindy Sterckx Belgium 19 459 1.3× 441 1.6× 258 1.1× 253 1.2× 242 1.2× 56 1.2k
Bringfried Pflug Germany 12 696 2.0× 177 0.6× 417 1.8× 236 1.2× 104 0.5× 48 1.2k
Ana B. Ruescas Spain 11 168 0.5× 381 1.3× 230 1.0× 81 0.4× 217 1.1× 29 746
Kyle T. Peterson United States 9 735 2.1× 221 0.8× 631 2.7× 131 0.6× 523 2.7× 10 1.6k
Yanlan Wu China 20 283 0.8× 97 0.3× 645 2.8× 335 1.7× 171 0.9× 75 1.4k
Siamak Khorram United States 14 353 1.0× 127 0.4× 185 0.8× 191 0.9× 113 0.6× 31 754
Els Knaeps Belgium 17 438 1.3× 746 2.6× 259 1.1× 227 1.1× 413 2.1× 37 1.4k
Felipe de Lucia Lobo Brazil 15 247 0.7× 301 1.1× 141 0.6× 112 0.6× 326 1.7× 26 882
Nam Thang Ha Vietnam 15 503 1.4× 220 0.8× 355 1.5× 51 0.3× 157 0.8× 27 947

Countries citing papers authored by Gabriele Candiani

Since Specialization
Citations

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

Fields of papers citing papers by Gabriele Candiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriele Candiani

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Candiani. A scholar is included among the top collaborators of Gabriele Candiani 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 Gabriele Candiani. Gabriele Candiani 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.
Candiani, Gabriele, et al.. (2024). Retrieval of Wheat Traits from Prisma Data Through Neural Networks with Different Training Setups. IRIS Research product catalog (Sapienza University of Rome). 1–5.
2.
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.
3.
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
4.
Amitrano, Donato, et al.. (2024). Vegetation Biomass and Nitrogen Content Estimation Using Ensembles: Regression and Active Learning Strategies for Field Sampling Reduction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 13473–13482. 1 indexed citations
5.
Candiani, Gabriele, et al.. (2024). Towards crop traits estimation from hyperspectral data: evaluation of neural network models trained with real multi-site data or synthetic RTM simulations. SHILAP Revista de lepidopterología. 39. 475–484. 1 indexed citations
6.
7.
Gallo, Ignazio, Mirco Boschetti, Anwar Ur Rehman, & Gabriele Candiani. (2023). Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images. Remote Sensing. 15(19). 4765–4765. 10 indexed citations
8.
Boschetti, Mirco, Luigi Ranghetti, Giulia Tagliabue, et al.. (2022). Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling. European Journal of Remote Sensing. 56(1). 14 indexed citations
9.
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
10.
Candiani, Gabriele, Giulia Tagliabue, Cinzia Panigada, et al.. (2022). Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission. Remote Sensing. 14(8). 1792–1792. 37 indexed citations
11.
Stroppiana, Daniela, Paolo Villa, Giovanna Sona, et al.. (2018). Early season weed mapping in rice crops using multi-spectral UAV data. International Journal of Remote Sensing. 39(15-16). 5432–5452. 61 indexed citations
12.
Candiani, Gabriele, Nicoletta Picone, L. Pompilio, Monica Pepe, & Marcello Colledani. (2017). Characterization of Fine Metal Particles Derived from Shredded WEEE Using a Hyperspectral Image System: Preliminary Results. Sensors. 17(5). 1117–1117. 17 indexed citations
13.
Bisquert, Mar, Gloria Bordogna, Agnès Bégué, et al.. (2015). A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity. Remote Sensing. 7(1). 704–724. 13 indexed citations
14.
Cilia, Chiara, Cinzia Panigada, Micol Rossini, et al.. (2015). Mapping of Asbestos Cement Roofs and Their Weathering Status Using Hyperspectral Aerial Images. ISPRS International Journal of Geo-Information. 4(2). 928–941. 34 indexed citations
15.
Candiani, Gabriele, et al.. (2014). Mapping Asbestos-Cement Roofing with Hyperspectral Remote Sensing over a Large Mountain Region of the Italian Western Alps. Sensors. 14(9). 15900–15913. 42 indexed citations
16.
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
17.
Candiani, Gabriele, Claudio Carnevale, Giovanna Finzi, Enrico Pisoni, & Marialuisa Volta. (2013). A comparison of reanalysis techniques: Applying optimal interpolation and Ensemble Kalman Filtering to improve air quality monitoring at mesoscale. The Science of The Total Environment. 458-460. 7–14. 35 indexed citations
18.
Braga, Federica, Claudia Giardino, Cristiana Bassani, et al.. (2013). Assessing water quality in the northern Adriatic Sea from HICO™ data. Remote Sensing Letters. 4(10). 1028–1037. 27 indexed citations
19.
Candiani, Gabriele, Claudio Carnevale, Giovanna Finzi, Enrico Pisoni, & Marialuisa Volta. (2010). Off-line Data Assimilation to provide the best estimate of tropospheric ozone concentrations by means of EnKF. 3493–3498. 2 indexed citations
20.
Candiani, Gabriele, Dana Floricioiu, Claudia Giardino, & Helmut Rott. (2005). Monitoring Water Quality of the Perialpine Italian Lake Garda through Multi-Temporal MERIS Data. 597. 7 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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