Virginia Liberini

769 citations
33 papers · 467 indexed · h-index 14
Topics
Radiomics and Machine Learning in Medical Imaging (13 papers)Medical Imaging Techniques and Applications (11 papers)Neuroendocrine Tumor Research Advances (8 papers)
Partner nations
ItalySwitzerlandFrance

In The Last Decade

Virginia Liberini

30 papers receiving 461 citations

Peers

Virginia Liberini
Comparison fields: 5 of 52
  • Radiology, Nuclear Medicine and Imaging 282
  • Oncology 204
  • Pulmonary and Respiratory Medicine 149
  • Epidemiology 93
  • Neurology 56
Replace Norbert Zsótér with:
Norbert Zsótér Germany
Tomomi W. Nobashi Japan
Raffaele Solla Italy
Hidekatsu Shibata Japan
Yirui Zhai China
Katrina Andrews United Kingdom
C. Bouriel France
Indrawati Hadi Germany
Hideki Marushima Japan
Jun Dang China
Virginia Liberini relative to Norbert Zsótér Germany Norbert Zsótér's profile →
Citations per field
00.5×4.1×
Norbert Zsótér · 1×
Citations per year

Countries citing papers authored by Virginia Liberini

Since Specialization
Citations

This map shows the geographic impact of Virginia Liberini'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 Virginia Liberini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Liberini more than expected).

Fields of papers citing papers by Virginia Liberini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia Liberini. 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 Virginia Liberini. The network helps show where Virginia Liberini may publish in the future.

Co-authorship network of co-authors of Virginia Liberini

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Liberini. A scholar is included among the top collaborators of Virginia Liberini 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 Virginia Liberini. Virginia Liberini 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
#WorkIndexed citations
1 0
2 0
3 2
4 0
5 1
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7 9
8 15
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10 2
11 1
12 26
13 22
14 13
15 22
16 15
17 14
18 12
19 77
20 35

About Virginia Liberini

Virginia Liberini is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Nephrology, having authored 33 papers that have together received 467 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Medical Imaging Techniques and Applications (11 papers) and Neuroendocrine Tumor Research Advances (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (282 citations), Oncology (204 citations) and Pulmonary and Respiratory Medicine (149 citations). Virginia Liberini has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Désirèe Deandreis, Martin W. Huellner, Francesco Ceci, E. Gallio, Riccardo Laudicella, Osvaldo Rampado, Alessandro Piovesan, Giulia Polverari, Silvia Novello and Philippe Thuillier. Their work appears in journals such as Scientific Reports, Molecules and Journal of Antimicrobial Chemotherapy.

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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