Francesca Uccheddu
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Surgery
- Computer Graphics and Computer-Aided Design top 5%
- Geology top 5%
- Co-authors
- Yary VolpeRocco FurferiLapo GoverniMonica CarfagniMauro BarniMichaela ServiMassimiliano CorsiniKathleen S. McGreevy
- Topics
- Anatomy and Medical Technology (13 papers)3D Surveying and Cultural Heritage (7 papers)Surgical Simulation and Training (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsThe Annals of Thoracic Surgery
- Partner nations
- ItalyUnited StatesEgypt
In The Last Decade
Francesca Uccheddu
42 papers receiving 636 citations
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 294
- Biomedical Engineering 196
- Surgery 176
- Computer Graphics and Computer-Aided Design 75
- Geology 70
Countries citing papers authored by Francesca Uccheddu
This map shows the geographic impact of Francesca Uccheddu'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 Francesca Uccheddu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Uccheddu more than expected).
Fields of papers citing papers by Francesca Uccheddu
This network shows the impact of papers produced by Francesca Uccheddu. 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 Francesca Uccheddu. The network helps show where Francesca Uccheddu may publish in the future.
Co-authorship network of co-authors of Francesca Uccheddu
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Uccheddu. A scholar is included among the top collaborators of Francesca Uccheddu 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 Francesca Uccheddu. Francesca Uccheddu 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 | 9 | |
| 3 | 15 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 24 | |
| 10 | 13 | |
| 11 | 3 | |
| 12 | 17 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | Detection of resampled images: Performance analysis and practical challenges | 3 |
| 20 | 3 |
About Francesca Uccheddu
Francesca Uccheddu is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 711 indexed citations. Recurring topics across this work include Anatomy and Medical Technology (13 papers), 3D Surveying and Cultural Heritage (7 papers) and Surgical Simulation and Training (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (75 citations), Computer Vision and Pattern Recognition (294 citations) and Geology (70 citations). Francesca Uccheddu has collaborated with scholars based in Italy, United States and Egypt. Frequent co-authors include Yary Volpe, Rocco Furferi, Lapo Governi, Monica Carfagni, Mauro Barni, Michaela Servi, Massimiliano Corsini, Kathleen S. McGreevy, Flavio Facchini and Elisa Mussi. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and The Annals of Thoracic Surgery.
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.