Barbara Villarini
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Neurology
- Biomedical Engineering
- Co-authors
- Vasileios ArgyriouMaria G. MartiniChaminda HewageAnastassia AngelopoulouEpaminondas KapetaniosJosé García‐RodríguezJimmy D. BellE. Louise Thomas
- Topics
- Medical Image Segmentation Techniques (6 papers)Advanced Neural Network Applications (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Barbara Villarini
22 papers receiving 162 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 90
- Radiology, Nuclear Medicine and Imaging 45
- Artificial Intelligence 24
- Neurology 19
- Biomedical Engineering 18
Countries citing papers authored by Barbara Villarini
This map shows the geographic impact of Barbara Villarini'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 Barbara Villarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Villarini more than expected).
Fields of papers citing papers by Barbara Villarini
This network shows the impact of papers produced by Barbara Villarini. 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 Barbara Villarini. The network helps show where Barbara Villarini may publish in the future.
Co-authorship network of co-authors of Barbara Villarini
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Villarini. A scholar is included among the top collaborators of Barbara Villarini 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 Barbara Villarini. Barbara Villarini 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 | 13 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 29 | |
| 11 | 5 | |
| 12 | 30 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 25 | |
| 19 | 1 | |
| 20 | 3 |
About Barbara Villarini
Barbara Villarini is a scholar working on Computer Vision and Pattern Recognition, Neurology and Signal Processing, having authored 23 papers that have together received 170 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Advanced Neural Network Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Neurology (19 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). Barbara Villarini has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Vasileios Argyriou, Maria G. Martini, Chaminda Hewage, Anastassia Angelopoulou, Epaminondas Kapetanios, José García‐Rodríguez, Jimmy D. Bell, E. Louise Thomas, Jesús Martínez del Rincón and Alexis Roche. Their work appears in journals such as The Journal of Urology, Sensors and Medical Physics.
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.