Silvia Rosellini

1.1k total citations
5 papers, 144 citations indexed

About

Silvia Rosellini is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Silvia Rosellini has authored 5 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Otorhinolaryngology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Silvia Rosellini's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Head and Neck Cancer Studies (2 papers) and AI in cancer detection (1 paper). Silvia Rosellini is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Head and Neck Cancer Studies (2 papers) and AI in cancer detection (1 paper). Silvia Rosellini collaborates with scholars based in France, Netherlands and China. Silvia Rosellini's co-authors include Philippe Gorphe, Odile Casiraghi, Stéphane Temam, Pierre Blanchard, François Bidault, Yungan Tao, Ralph T. H. Leijenaar, Charles Ferté, Dan Ou and F. Nguyen and has published in prestigious journals such as Journal of Hepatology, International Journal of Radiation Oncology*Biology*Physics and Oncotarget.

In The Last Decade

Silvia Rosellini

5 papers receiving 144 citations

Peers

Silvia Rosellini
Comparison fields: 5 of 31
  • Radiology, Nuclear Medicine and Imaging 80
  • Otorhinolaryngology 61
  • Surgery 54
  • Oncology 43
  • Pulmonary and Respiratory Medicine 35
Replace Birgit Siekmeyer with:
Birgit Siekmeyer Germany
Nai‐Ming Cheng Taiwan
Keith Rooney United Kingdom
Adam Peryt United Kingdom
Naohiko Murata Japan
A. Eisbruch United States
Haiquan Chen China
Imran Petkar United Kingdom
Sarianna Joukainen Finland
Sabrina Hartenbach Austria
Birgit Siekmeyer Germany View profile →
Citations per field, relative to Silvia Rosellini
Silvia Rosellini · 1×
Citations per year, relative to Silvia Rosellini
Silvia Rosellini · 1×

Countries citing papers authored by Silvia Rosellini

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Rosellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Rosellini

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Rosellini. A scholar is included among the top collaborators of Silvia Rosellini 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 Silvia Rosellini. Silvia Rosellini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 18
2 74
3 11
4 40
5 1

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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2026