Viola Novelli

14 papers receiving 185 citations

Peers

Viola Novelli
Comparison fields: 5 of 50
  • Emergency Medicine 56
  • Critical Care and Intensive Care Medicine 20
  • Modeling and Simulation 10
  • Infectious Diseases 28
  • Endocrinology 8
Replace Sara Cutti with:
Sara Cutti Italy
Ana Carolina Peçanha Antônio Brazil
Valérie Soussan-Banini France
Amit Uppal United States
David Dawei Yang France
Leslie M. Barnard United States
Eren Usul Türkiye
Vineeta Vaidya United States
Chan‐Ping Su Taiwan
C. Vilà Spain
Viola Novelli relative to Sara Cutti Italy Sara Cutti's profile →
Citations per field
00.5×3.3×
Sara Cutti · 1×
Citations per year

Countries citing papers authored by Viola Novelli

Since Specialization
Citations

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

Fields of papers citing papers by Viola Novelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Viola Novelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Viola Novelli Line = papers co-authored together Viola Novelli links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202055
2 202132
3 202123
4 202023
5 202013
6 202311
7 202110
8 20207
9 20245
10
Retrospective screening for hepatitis C in a tertiary paediatric referral centre.
20033
11 20233
12 20222
13 20221
14 20221
15 20240

About Viola Novelli

Viola Novelli is a scholar working on Infectious Diseases, Emergency Medicine, Economics and Econometrics, General Health Professions and Clinical Psychology, having authored 15 papers that have together received 189 indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Healthcare Policy and Management (3 papers), Infection Control and Ventilation (2 papers), COVID-19 and healthcare impacts (2 papers), Geriatric Care and Nursing Homes (2 papers), COVID-19 and Mental Health (2 papers) and Disaster Response and Management (1 paper). The work is most often cited by research in Emergency Medicine (56 citations), Critical Care and Intensive Care Medicine (20 citations), Modeling and Simulation (10 citations), Infectious Diseases (28 citations) and Endocrinology (8 citations). Viola Novelli has collaborated with scholars based in Italy, China and United States. Frequent co-authors include Gabriele Savioli, Giovanni Ricevuti, Iride Francesca Ceresa, Maria Antonietta Bressan, A Muzzi, Enrico Oddone, Sara Cutti, Carlo Marena, Fabrizio Canevari and Francesco Salinaro. Their work appears in journals such as Internal and Emergency Medicine, Journal of Personalized Medicine, Journal of Public Health, European Journal of Public Health and International Journal of Environmental Research and Public Health.

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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