Massimo Fierro
Impact in
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- Image Enhancement Techniques
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Image and Video Quality Assessment
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
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- Advanced Image Fusion Techniques 4
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- Image Enhancement Techniques 7
- Image and Signal Denoising Methods 2
- Image and Video Quality Assessment 1
- Advanced Image Processing Techniques 1
- Journals
- IEEE Transactions on Image Processing (2 papers)Journal of Imaging Science and Technology (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)Conference on Colour in Graphics Imaging and Vision (1 paper)
- Partner nations
- South KoreaItaly
In The Last Decade
Massimo Fierro
7 papers receiving 286 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 269
- Media Technology 93
- Atomic and Molecular Physics, and Optics 137
- Computer Graphics and Computer-Aided Design 7
- Cognitive Neuroscience 37
Countries citing papers authored by Massimo Fierro
This map shows the geographic impact of Massimo Fierro'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 Massimo Fierro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Fierro more than expected).
Fields of papers citing papers by Massimo Fierro
This network shows the impact of papers produced by Massimo Fierro. 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 Massimo Fierro. The network helps show where Massimo Fierro may publish in the future.
Co-authors
The 7 scholars most cited alongside Massimo Fierro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 2 | |
| 2 | 2013 | 11 | |
| 3 | 2012 | 6 | |
| 4 | 2009 | 3 | |
| 5 | 2008 | 132 | |
| 6 | 2006 | 144 | |
| 7 | 2004 | 7 |
About Massimo Fierro
Massimo Fierro is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Social Psychology and Biomedical Engineering, having authored 7 papers that have together received 305 indexed citations. Recurring topics across this work include Image Enhancement Techniques (7 papers), Advanced Image Fusion Techniques (4 papers), Color Science and Applications (4 papers), Image and Signal Denoising Methods (2 papers), Image and Video Quality Assessment (1 paper), Photoacoustic and Ultrasonic Imaging (1 paper), Advanced Image Processing Techniques (1 paper) and Color perception and design (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (269 citations), Media Technology (93 citations), Atomic and Molecular Physics, and Optics (137 citations), Computer Graphics and Computer-Aided Design (7 citations) and Cognitive Neuroscience (37 citations). Massimo Fierro has collaborated with scholars based in South Korea and Italy. Frequent co-authors include Alessandro Rizzi, Edoardo Provenzi, Carlo Gatta, Daniele Marini, Davide Gadia, Yeong‐Ho Ha and Xi Yuan. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Imaging Science and Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Conference on Colour in Graphics Imaging and Vision.
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.