Marco Buzzelli
Impact in
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image and Video Quality Assessment
- Image and Signal Denoising Methods
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
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- Image Enhancement Techniques 17
- Advanced Vision and Imaging 7
- Image and Video Quality Assessment 7
- Advanced Image Processing Techniques 5
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- Color Science and Applications 17
- Co-authors
- Raimondo Schettini (32 shared papers)Simone Bianco (26 shared papers)Mauro Castelli (6 shared papers)Illya Bakurov (6 shared papers)Leonardo Vanneschi (6 shared papers)Davide Mazzini (2 shared papers)Gianluigi Ciocca (7 shared papers)Paolo Napoletano (3 shared papers)
In The Last Decade
Marco Buzzelli
46 papers receiving 545 citations
Marco Buzzelli's Hit Papers
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 314
- Media Technology 101
- Acoustics and Ultrasonics 3
- Artificial Intelligence 96
- Industrial and Manufacturing Engineering 27
Countries citing papers authored by Marco Buzzelli
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
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-authors
The 25 scholars most cited alongside Marco Buzzelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural similarity index (SSIM) revisited: A data-driven approach Hit paper breakdown → | 2021 | 199 |
| 2 | 2017 | 85 | |
| 3 | 2020 | 42 | |
| 4 | 2019 | 18 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2018 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 5 |
About Marco Buzzelli
Marco Buzzelli is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology, Cognitive Neuroscience and Social Psychology, having authored 51 papers that have together received 563 indexed citations. Recurring topics across this work include Color Science and Applications (17 papers), Image Enhancement Techniques (17 papers), Advanced Vision and Imaging (7 papers), Image and Video Quality Assessment (7 papers), Advanced Image Fusion Techniques (6 papers), Advanced Image Processing Techniques (5 papers), Visual perception and processing mechanisms (5 papers) and Color perception and design (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Media Technology (101 citations), Acoustics and Ultrasonics (3 citations), Artificial Intelligence (96 citations) and Industrial and Manufacturing Engineering (27 citations). Marco Buzzelli has collaborated with scholars based in Italy, Portugal and Spain. Frequent co-authors include Raimondo Schettini, Simone Bianco, Mauro Castelli, Illya Bakurov, Leonardo Vanneschi, Davide Mazzini, Gianluigi Ciocca, Paolo Napoletano, Federico Belotti and Flavio Piccoli. Their work appears in journals such as Journal of the Optical Society of America A, Applied Sciences, Color Research & Application, Multimedia Tools and Applications and Pattern Recognition.
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.