Cesare Valenti
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Immunology
- Molecular Biology
- Co-authors
- Domenico TegoloVito Di GesùFabio BellaviaClaudio TripodoS. DeliaClaudio Maria MastroianniFrancesca PaolettiValeria Cancila
- Topics
- Medical Image Segmentation Techniques (14 papers)Retinal Imaging and Analysis (11 papers)Advanced Image and Video Retrieval Techniques (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Partner nations
- ItalyFrancePalestinian Territory
In The Last Decade
Cesare Valenti
54 papers receiving 594 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 242
- Radiology, Nuclear Medicine and Imaging 130
- Oncology 60
- Immunology 59
- Molecular Biology 57
Countries citing papers authored by Cesare Valenti
This map shows the geographic impact of Cesare Valenti'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 Cesare Valenti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cesare Valenti more than expected).
Fields of papers citing papers by Cesare Valenti
This network shows the impact of papers produced by Cesare Valenti. 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 Cesare Valenti. The network helps show where Cesare Valenti may publish in the future.
Co-authorship network of co-authors of Cesare Valenti
This figure shows the co-authorship network connecting the top 25 collaborators of Cesare Valenti. A scholar is included among the top collaborators of Cesare Valenti 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 Cesare Valenti. Cesare Valenti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 22 | |
| 10 | 12 | |
| 11 | 64 | |
| 12 | 15 | |
| 13 | 27 | |
| 14 | 30 | |
| 15 | Underwater archaeological mosaicing | 1 |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 25 | |
| 20 | 3 |
About Cesare Valenti
Cesare Valenti is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology, having authored 56 papers that have together received 610 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Retinal Imaging and Analysis (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (242 citations), Health Informatics (11 citations) and Radiology, Nuclear Medicine and Imaging (130 citations). Cesare Valenti has collaborated with scholars based in Italy, France and Palestinian Territory. Frequent co-authors include Domenico Tegolo, Vito Di Gesù, Fabio Bellavia, Claudio Tripodo, S. Delia, Claudio Maria Mastroianni, Francesca Paoletti, Valeria Cancila, Ada Maria Florena and Mario P. Colombo. Their work appears in journals such as Clinical Cancer Research, Journal of Neurology Neurosurgery & Psychiatry and IEEE Access.
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.