Alessandro Rizzi
- Computer Vision and Pattern Recognition top 5%
- Atomic and Molecular Physics, and Optics
- Media Technology top 5%
- Cognitive Neuroscience
- Water Science and Technology
- Co-authors
- Daniele MariniEdoardo ProvenziBernard BessererCarlo GattaAnna BernasconiPaola SpoletiniClaudio MenghiDario Pitocco
- Topics
- Image Enhancement Techniques (8 papers)Color Science and Applications (7 papers)Image and Signal Denoising Methods (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyAtomic and Molecular Physics, and Optics
- Journals
- SHILAP Revista de lepidopterologíaJournal of the Optical Society of America AImage and Vision Computing
- Partner nations
- ItalyFranceLuxembourg
In The Last Decade
Alessandro Rizzi
12 papers receiving 375 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 360
- Atomic and Molecular Physics, and Optics 153
- Media Technology 134
- Cognitive Neuroscience 42
- Water Science and Technology 16
Countries citing papers authored by Alessandro Rizzi
This map shows the geographic impact of Alessandro Rizzi'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 Alessandro Rizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Rizzi more than expected).
Fields of papers citing papers by Alessandro Rizzi
This network shows the impact of papers produced by Alessandro Rizzi. 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 Alessandro Rizzi. The network helps show where Alessandro Rizzi may publish in the future.
Co-authorship network of co-authors of Alessandro Rizzi
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Rizzi. A scholar is included among the top collaborators of Alessandro Rizzi 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 Alessandro Rizzi. Alessandro Rizzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 155 | |
| 9 | 1 | |
| 10 | 96 | |
| 11 | 25 | |
| 12 | 91 |
About Alessandro Rizzi
Alessandro Rizzi is a scholar working on Complementary and Manual Therapy, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 12 papers that have together received 397 indexed citations. Recurring topics across this work include Image Enhancement Techniques (8 papers), Color Science and Applications (7 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (360 citations), Media Technology (134 citations) and Atomic and Molecular Physics, and Optics (153 citations). Alessandro Rizzi has collaborated with scholars based in Italy, France and Luxembourg. Frequent co-authors include Daniele Marini, Edoardo Provenzi, Bernard Besserer, Carlo Gatta, Anna Bernasconi, Paola Spoletini, Claudio Menghi, Dario Pitocco, Andrea Marchesi and Vittorio Romano. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Optical Society of America A and Image and Vision Computing.
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.