Flavio Piccoli

748 total citations
20 papers, 411 citations indexed

About

Flavio Piccoli is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Flavio Piccoli has authored 20 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 5 papers in Artificial Intelligence. Recurrent topics in Flavio Piccoli's work include Remote-Sensing Image Classification (5 papers), Image Enhancement Techniques (4 papers) and Remote Sensing in Agriculture (3 papers). Flavio Piccoli is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Image Enhancement Techniques (4 papers) and Remote Sensing in Agriculture (3 papers). Flavio Piccoli collaborates with scholars based in Italy, China and Russia. Flavio Piccoli's co-authors include Raimondo Schettini, Paolo Napoletano, Simone Bianco, Claudio Cusano, Davide Mazzini, Luigi Celona, Marco Buzzelli, Micol Rossini, Massimo Labra and Miriam Colombo and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Sensors.

In The Last Decade

Flavio Piccoli

19 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Flavio Piccoli Italy 9 156 139 100 70 57 20 411
Xinyi Gong China 9 153 1.0× 119 0.9× 200 2.0× 44 0.6× 38 0.7× 23 438
Çağlar Aytekin Finland 9 223 1.4× 76 0.5× 61 0.6× 57 0.8× 72 1.3× 20 386
Kaiyou Song China 13 269 1.7× 139 1.0× 269 2.7× 84 1.2× 39 0.7× 18 522
Gongjie Zhang Singapore 11 354 2.3× 181 1.3× 93 0.9× 57 0.8× 27 0.5× 17 498
Yoshihiro Mitani Japan 7 222 1.4× 146 1.1× 36 0.4× 59 0.8× 130 2.3× 35 476
Hamed Habibi Aghdam Spain 8 200 1.3× 118 0.8× 19 0.2× 77 1.1× 30 0.5× 20 410
Vilas H. Gaidhane United Arab Emirates 11 233 1.5× 42 0.3× 88 0.9× 90 1.3× 18 0.3× 40 383
Xueye Wei China 12 227 1.5× 85 0.6× 31 0.3× 89 1.3× 31 0.5× 67 554
Yasar Abbas Ur Rehman Hong Kong 12 392 2.5× 56 0.4× 55 0.6× 43 0.6× 30 0.5× 24 590
Miroslav Benčo Slovakia 14 292 1.9× 70 0.5× 27 0.3× 50 0.7× 13 0.2× 45 533

Countries citing papers authored by Flavio Piccoli

Since Specialization
Citations

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

Fields of papers citing papers by Flavio Piccoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavio Piccoli

This figure shows the co-authorship network connecting the top 25 collaborators of Flavio Piccoli. A scholar is included among the top collaborators of Flavio Piccoli 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 Flavio Piccoli. Flavio Piccoli 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.
Piccoli, Flavio, et al.. (2025). Enjoy it! Cosmetic try-on apps and augmented reality, the impact of enjoyment, informativeness and ease of use. Frontiers in Virtual Reality. 6. 2 indexed citations
2.
Frigerio, Jessica, Luca Campone, Marco Buzzelli, et al.. (2024). Convergent technologies to tackle challenges of modern food authentication. Heliyon. 10(11). e32297–e32297. 8 indexed citations
3.
Piccoli, Flavio, et al.. (2024). Ticino: A multi-modal remote sensing dataset for semantic segmentation. Expert Systems with Applications. 249. 123600–123600. 5 indexed citations
4.
Piccoli, Flavio, et al.. (2024). Deep Learning Hyperspectral Pansharpening on Large-Scale PRISMA Dataset. Remote Sensing. 16(12). 2079–2079. 4 indexed citations
5.
Piccoli, Flavio, et al.. (2023). An Open-Source Platform for GIS Data Management and Analytics. Sensors. 23(8). 3788–3788. 8 indexed citations
6.
Piccoli, Flavio, et al.. (2023). Estimation of Soil Characteristics from Multispectral Sentinel-3 Imagery and DEM Derivatives Using Machine Learning. Sensors. 23(18). 7876–7876. 2 indexed citations
7.
Piccoli, Flavio, et al.. (2023). On the Use of Personalized Models for Blood Glucose Concentration Prediction. BOA (University of Milano-Bicocca). 17. 100–105.
8.
Bianco, Simone, et al.. (2023). Food Recognition with Visual Transformers. BOA (University of Milano-Bicocca). 82–87. 6 indexed citations
9.
Piccoli, Flavio, Micol Rossini, Roberto Colombo, Raimondo Schettini, & Paolo Napoletano. (2023). A deep scalable neural architecture for soil properties estimation from spectral information. Computers & Geosciences. 180. 105433–105433. 5 indexed citations
10.
Piccoli, Flavio, et al.. (2023). Multimodal Fusion Methods with Vision Transformers for Remote Sensing Semantic Segmentation. BOA (University of Milano-Bicocca). 1–5. 2 indexed citations
11.
Bianco, Simone, et al.. (2023). Semi-supervised cross-lingual speech emotion recognition. Expert Systems with Applications. 237. 121368–121368. 17 indexed citations
12.
Napoletano, Paolo, et al.. (2022). Unsupervised segmentation of hyperspectral remote sensing images with superpixels. Remote Sensing Applications Society and Environment. 28. 100823–100823. 18 indexed citations
13.
Napoletano, Paolo, Flavio Piccoli, & Raimondo Schettini. (2021). Semi-supervised anomaly detection for visual quality inspection. Expert Systems with Applications. 183. 115275–115275. 10 indexed citations
14.
Bianco, Simone, Claudio Cusano, Flavio Piccoli, & Raimondo Schettini. (2020). Personalized Image Enhancement Using Neural Spline Color Transforms. IEEE Transactions on Image Processing. 29. 6223–6236. 22 indexed citations
15.
Mazzini, Davide, Paolo Napoletano, Flavio Piccoli, & Raimondo Schettini. (2020). A Novel Approach to Data Augmentation for Pavement Distress Segmentation. Computers in Industry. 121. 103225–103225. 46 indexed citations
16.
Bianco, Simone, Luigi Celona, Flavio Piccoli, & Raimondo Schettini. (2019). High-Resolution Single Image Dehazing Using Encoder-Decoder Architecture. BOA (University of Milano-Bicocca). 1927–1935. 27 indexed citations
17.
Bianco, Simone, Claudio Cusano, Flavio Piccoli, & Raimondo Schettini. (2019). Content-Preserving Tone Adjustment for Image Enhancement. BOA (University of Milano-Bicocca). 1936–1943. 3 indexed citations
18.
Piccoli, Flavio. (2019). Visual Anomaly Detection For Automatic Quality Control. BOA (University of Milano-Bicocca). 1 indexed citations
19.
Napoletano, Paolo, Flavio Piccoli, & Raimondo Schettini. (2018). Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity. Sensors. 18(1). 209–209. 193 indexed citations
20.
Bianco, Simone, Claudio Cusano, Flavio Piccoli, & Raimondo Schettini. (2017). Artistic photo filter removal using convolutional neural networks. Journal of Electronic Imaging. 27(1). 1–1. 32 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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