Cinzia Viroli

1.2k citations
54 papers · 743 indexed · h-index 16
Topics
Bayesian Methods and Mixture Models (30 papers)Gene expression and cancer classification (9 papers)Statistical Methods and Bayesian Inference (8 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsBiometrics
Partner nations
ItalyUnited StatesNorway

In The Last Decade

Cinzia Viroli

50 papers receiving 724 citations

Peers

Cinzia Viroli
Comparison fields: 5 of 125
  • Artificial Intelligence 336
  • Statistics and Probability 186
  • Molecular Biology 91
  • Aquatic Science 89
  • Signal Processing 56
Replace Mihoko Minami with:
Mihoko Minami Japan
Katrijn Van Deun Netherlands
David A. James United States
Bernd Streitberg Germany
Jan Gertheiss Germany
James G. Booth United States
Reza Modarres United States
Jérôme Saracco France
Heinz Linhart South Africa
Isobel Claire Gormley Ireland
Cinzia Viroli relative to Mihoko Minami Japan Mihoko Minami's profile →
Citations per field
00.5×4.5×
Mihoko Minami · 1×
Citations per year

Countries citing papers authored by Cinzia Viroli

Since Specialization
Citations

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

Fields of papers citing papers by Cinzia Viroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cinzia Viroli

This figure shows the co-authorship network connecting the top 25 collaborators of Cinzia Viroli. A scholar is included among the top collaborators of Cinzia Viroli 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 Cinzia Viroli. Cinzia Viroli 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 8
4 7
5 24
6 4
7 19
8 1
9 2
10 0
11 4
12 12
13 22
14 51
15 22
16 21
17 14
18 42
19 5
20 0

About Cinzia Viroli

Cinzia Viroli is a scholar working on Statistics and Probability, Artificial Intelligence and Physiology, having authored 54 papers that have together received 743 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (30 papers), Gene expression and cancer classification (9 papers) and Statistical Methods and Bayesian Inference (8 papers). The work is most often cited by research in Computational Mathematics (22 citations), Statistics and Probability (186 citations) and Aquatic Science (89 citations). Cinzia Viroli has collaborated with scholars based in Italy, United States and Norway. Frequent co-authors include Angela Montanari, Geoffrey J. McLachlan, Laura Anderlucci, Silvia Cagnone, Alessio Bonaldo, Pier Paolo Gatta, Luca Parma, Rossella Miglio, Massimo Biondi and Giovanni de Girolamo. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biometrics.

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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