Alberto Signoroni
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Media Technology top 2%
- Biophysics top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Mattia SavardiSergio BeniniRiccardo LeonardiAlessandro FerrariGabriele BaronioNicola AdamiRoberto MaroldiDavide Farina
- Topics
- Advanced Data Compression Techniques (20 papers)Image and Signal Denoising Methods (14 papers)Advanced Vision and Imaging (11 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Alberto Signoroni
82 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 427
- Biomedical Engineering 254
- Media Technology 244
- Biophysics 189
- Radiology, Nuclear Medicine and Imaging 174
Countries citing papers authored by Alberto Signoroni
This map shows the geographic impact of Alberto Signoroni'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 Alberto Signoroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Signoroni more than expected).
Fields of papers citing papers by Alberto Signoroni
This network shows the impact of papers produced by Alberto Signoroni. 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 Alberto Signoroni. The network helps show where Alberto Signoroni may publish in the future.
Co-authorship network of co-authors of Alberto Signoroni
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Signoroni. A scholar is included among the top collaborators of Alberto Signoroni 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 Alberto Signoroni. Alberto Signoroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 22 | |
| 9 | 1 | |
| 10 | 37 | |
| 11 | 92 | |
| 12 | 1 | |
| 13 | 44 | |
| 14 | 18 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | A multiscale feature extraction approach for 3D range images | 1 |
| 18 | Inter-modal selective 3D coding of PET-CT datasets | 2 |
| 19 | 1 | |
| 20 | 3 |
About Alberto Signoroni
Alberto Signoroni is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Computer Graphics and Computer-Aided Design, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (20 papers), Image and Signal Denoising Methods (14 papers) and Advanced Vision and Imaging (11 papers). The work is most often cited by research in Health Informatics (58 citations), Biophysics (189 citations) and Media Technology (244 citations). Alberto Signoroni has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Mattia Savardi, Sergio Benini, Riccardo Leonardi, Alessandro Ferrari, Gabriele Baronio, Nicola Adami, Roberto Maroldi, Davide Farina, Corrado Paganelli and Domenico Dalessandri. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.