Vittoria Bruni
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Control and Systems Engineering top 10%
- Signal Processing top 5%
- Artificial Intelligence
- Co-authors
- Domenico VitulanoBenedetto PiccoliElisa RossiAnil KokaramAndrew J. CrawfordL. AppoloniaFrancesca PitolliGiovanni Ramponi
- Topics
- Image and Signal Denoising Methods (33 papers)Blind Source Separation Techniques (13 papers)Machine Fault Diagnosis Techniques (13 papers)
- Partner nations
- ItalyIrelandUnited States
In The Last Decade
Vittoria Bruni
67 papers receiving 544 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 355
- Media Technology 115
- Control and Systems Engineering 114
- Signal Processing 107
- Artificial Intelligence 52
Countries citing papers authored by Vittoria Bruni
This map shows the geographic impact of Vittoria Bruni'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 Vittoria Bruni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vittoria Bruni more than expected).
Fields of papers citing papers by Vittoria Bruni
This network shows the impact of papers produced by Vittoria Bruni. 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 Vittoria Bruni. The network helps show where Vittoria Bruni may publish in the future.
Co-authorship network of co-authors of Vittoria Bruni
This figure shows the co-authorship network connecting the top 25 collaborators of Vittoria Bruni. A scholar is included among the top collaborators of Vittoria Bruni 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 Vittoria Bruni. Vittoria Bruni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | Old movies noise reduction via wavelets and Wiener filter | 5 |
| 18 | 61 | |
| 19 | 8 | |
| 20 | Line Scratch Detection on Digital Images: An Energy Based Model | 5 |
About Vittoria Bruni
Vittoria Bruni is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 75 papers that have together received 568 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (33 papers), Blind Source Separation Techniques (13 papers) and Machine Fault Diagnosis Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (355 citations), Media Technology (115 citations) and Signal Processing (107 citations). Vittoria Bruni has collaborated with scholars based in Italy, Ireland and United States. Frequent co-authors include Domenico Vitulano, Benedetto Piccoli, Elisa Rossi, Anil Kokaram, Andrew J. Crawford, L. Appolonia, Francesca Pitolli, Giovanni Ramponi, Mariantonia Cotronei and Daniela De Canditiis. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and Sustainability.
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.