Barbara Villarini

414 total citations
23 papers, 170 citations indexed

About

Barbara Villarini is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Barbara Villarini has authored 23 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biomedical Engineering. Recurrent topics in Barbara Villarini's work include Medical Image Segmentation Techniques (6 papers), Advanced Neural Network Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Barbara Villarini is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Advanced Neural Network Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Barbara Villarini collaborates with scholars based in United Kingdom, Italy and United States. Barbara Villarini's 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 and has published in prestigious journals such as The Journal of Urology, Sensors and Medical Physics.

In The Last Decade

Barbara Villarini

22 papers receiving 162 citations

Peers

Barbara Villarini
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
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Citations per field, relative to Barbara Villarini
Barbara Villarini · 1×
Citations per year, relative to Barbara Villarini
Barbara Villarini · 1×

Countries citing papers authored by Barbara Villarini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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