Marco Buzzelli

1.2k total citations
49 papers, 525 citations indexed

About

Marco Buzzelli is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Marco Buzzelli has authored 49 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 17 papers in Atomic and Molecular Physics, and Optics and 10 papers in Media Technology. Recurrent topics in Marco Buzzelli's work include Color Science and Applications (17 papers), Image Enhancement Techniques (17 papers) and Image and Video Quality Assessment (7 papers). Marco Buzzelli is often cited by papers focused on Color Science and Applications (17 papers), Image Enhancement Techniques (17 papers) and Image and Video Quality Assessment (7 papers). Marco Buzzelli collaborates with scholars based in Italy, Portugal and Spain. Marco Buzzelli's co-authors include Raimondo Schettini, Simone Bianco, Leonardo Vanneschi, Mauro Castelli, Illya Bakurov, Davide Mazzini, Gianluigi Ciocca, Paolo Napoletano, Riccardo Riva and Flavio Piccoli and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Sensors.

In The Last Decade

Marco Buzzelli

45 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Buzzelli Italy 10 303 99 93 64 39 49 525
Vassilios Vonikakis Singapore 13 593 2.0× 147 1.5× 142 1.5× 45 0.7× 31 0.8× 29 834
Helmut Bez United Kingdom 13 322 1.1× 68 0.7× 148 1.6× 36 0.6× 19 0.5× 54 532
Takuya Funatomi Japan 12 297 1.0× 60 0.6× 48 0.5× 31 0.5× 86 2.2× 87 524
Aladine Chetouani France 16 448 1.5× 138 1.4× 39 0.4× 26 0.4× 36 0.9× 89 741
Ki-Sang Hong South Korea 17 778 2.6× 240 2.4× 75 0.8× 47 0.7× 27 0.7× 57 1000
Pengfei Xu China 13 311 1.0× 97 1.0× 73 0.8× 15 0.2× 20 0.5× 41 513
Zhenglong Cui China 9 312 1.0× 85 0.9× 56 0.6× 28 0.4× 43 1.1× 27 586
P. Bolon France 12 400 1.3× 170 1.7× 69 0.7× 22 0.3× 22 0.6× 34 625
Jianfeng Li China 15 372 1.2× 81 0.8× 131 1.4× 12 0.2× 53 1.4× 74 788
Ehsan Nadernejad Denmark 11 332 1.1× 119 1.2× 29 0.3× 88 1.4× 24 0.6× 34 423

Countries citing papers authored by Marco Buzzelli

Since Specialization
Citations

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

Fields of papers citing papers by Marco Buzzelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Buzzelli

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Buzzelli. A scholar is included among the top collaborators of Marco Buzzelli 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 Marco Buzzelli. Marco Buzzelli 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.
Buzzelli, Marco, et al.. (2025). Ink classification in historical documents using hyperspectral imaging and machine learning methods. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 335. 125916–125916. 3 indexed citations
2.
Buzzelli, Marco, et al.. (2025). Robust camera-independent color chart localization using YOLO. Pattern Recognition Letters. 192. 51–58.
3.
Buzzelli, Marco, et al.. (2024). Bayesian nights: Optimizing night photography rendering with Bayesian derivative-free methods. Pattern Recognition. 161. 111314–111314. 2 indexed citations
4.
Buzzelli, Marco & Simone Bianco. (2024). A Convolutional Framework for Color Constancy. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 13387–13401. 1 indexed citations
5.
Buzzelli, Marco, et al.. (2024). A RNN for Temporal Consistency in Low-Light Videos Enhanced by Single-Frame Methods. IEEE Signal Processing Letters. 31. 2795–2799. 2 indexed citations
6.
Buzzelli, Marco & Simone Bianco. (2024). Uncertainty estimation in color constancy. Pattern Recognition. 160. 111175–111175.
7.
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
8.
Buzzelli, Marco, et al.. (2024). Improving RGB illuminant estimation exploiting spectral average radiance. Journal of the Optical Society of America A. 41(3). 516–516. 2 indexed citations
9.
Buzzelli, Marco, et al.. (2023). A General-purpose Pipeline for Realistic Synthetic Multispectral Image Dataset Generation. Color and Imaging Conference. 31(1). 155–160. 2 indexed citations
10.
Bakurov, Illya, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, & Leonardo Vanneschi. (2023). Full-Reference Image Quality Expression via Genetic Programming. IEEE Transactions on Image Processing. 32. 1458–1473. 9 indexed citations
11.
Buzzelli, Marco, et al.. (2023). RGB Illuminant Compensation using Spectral Super-resolution and Weighted Spectral Color Correction. Color and Imaging Conference. 31(1). 33–37.
12.
Buzzelli, Marco. (2023). Visualizing Perceptual Differences in White Color Constancy. Journal of Imaging Science and Technology. 67(5). 1–6. 1 indexed citations
13.
Bakurov, Illya, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, & Leonardo Vanneschi. (2023). Semantic segmentation network stacking with genetic programming. Genetic Programming and Evolvable Machines. 24(2). 2 indexed citations
14.
Buzzelli, Marco, Raimondo Schettini, & Simone Bianco. (2023). Learning Color Constancy: 30 Years Later. Color and Imaging Conference. 31(1). 91–95. 1 indexed citations
15.
Buzzelli, Marco, Simone Bianco, & Paolo Napoletano. (2023). Unified Framework for Identity and Imagined Action Recognition From EEG Patterns. IEEE Transactions on Human-Machine Systems. 53(3). 529–537. 5 indexed citations
16.
Buzzelli, Marco, et al.. (2022). Video restoration based on deep learning: a comprehensive survey. Artificial Intelligence Review. 56(6). 5317–5364. 16 indexed citations
17.
Bakurov, Illya, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, & Leonardo Vanneschi. (2021). Structural similarity index (SSIM) revisited: A data-driven approach. Expert Systems with Applications. 189. 116087–116087. 179 indexed citations
18.
Buzzelli, Marco, Gianluigi Ciocca, Paolo Napoletano, & Raimondo Schettini. (2021). Analyzing and Recognizing Food in Constrained and Unconstrained Environments. BOA (University of Milano-Bicocca). 1–5. 1 indexed citations
19.
Mazzini, Davide, et al.. (2018). A CNN Architecture for Efficient Semantic Segmentation of Street Scenes. BOA (University of Milano-Bicocca). 1–6. 10 indexed citations
20.
Bianco, Simone, Marco Buzzelli, & Raimondo Schettini. (2013). Object detection using feature-based template matching. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8661. 86610C–86610C. 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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