Caterina Rizzo
Impact in
- Health Informatics top 0.2%
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 115
- Influenza Virus Research Studies 63
- Respiratory viral infections research 49
- Pneumonia and Respiratory Infections 22
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- Viral Infections and Vectors 21
- Co-authors
- Alberto Eugenio Tozzi (29 shared papers)Antonino Bella (40 shared papers)Angela Carati (21 shared papers)Giuseppe Bellussi (21 shared papers)Guglielmo Arzilli (13 shared papers)Francesco Baglivo (11 shared papers)Roberto Millini (21 shared papers)Luigi De Angelis (14 shared papers)
- Journals
- Eurosurveillance (23 papers)Vaccine (17 papers)PLoS ONE (12 papers)Microporous and Mesoporous Materials (12 papers)BMC Infectious Diseases (9 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Caterina Rizzo
221 papers receiving 6.3k citations
Caterina Rizzo's Hit Papers
Peers
Comparison fields: 5 of 206
- Health Informatics 332
- Modeling and Simulation 854
- Infectious Diseases 1.9k
- Health 769
- Epidemiology 2.0k
Countries citing papers authored by Caterina Rizzo
This map shows the geographic impact of Caterina Rizzo'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 Caterina Rizzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caterina Rizzo more than expected).
Fields of papers citing papers by Caterina Rizzo
This network shows the impact of papers produced by Caterina Rizzo. 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 Caterina Rizzo. The network helps show where Caterina Rizzo may publish in the future.
Co-authors
The 25 scholars most cited alongside Caterina Rizzo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 231 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health Hit paper breakdown → | 2023 | 396 |
| 2 | 2009 | 385 | |
| 3 | 2018 | 193 | |
| 4 | 2005 | 190 | |
| 5 | 2011 | 183 | |
| 6 | 1991 | 166 | |
| 7 | 2017 | 162 | |
| 8 | 2016 | 152 | |
| 9 | 2008 | 150 | |
| 10 | 2011 | 125 | |
| 11 | 2011 | 120 | |
| 12 | 2002 | 100 | |
| 13 | 2020 | 97 | |
| 14 | 1999 | 95 | |
| 15 | 2016 | 94 | |
| 16 | 2012 | 87 | |
| 17 | 2016 | 84 | |
| 18 | 2013 | 75 | |
| 19 | 2010 | 74 | |
| 20 | 2012 | 71 |
About Caterina Rizzo
Caterina Rizzo is a scholar working on Epidemiology, Infectious Diseases, Health, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 231 papers that have together received 6.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (63 papers), Respiratory viral infections research (49 papers), Vaccine Coverage and Hesitancy (38 papers), COVID-19 epidemiological studies (35 papers), Mosquito-borne diseases and control (23 papers), Pneumonia and Respiratory Infections (22 papers), Viral Infections and Vectors (21 papers) and Zeolite Catalysis and Synthesis (19 papers). The work is most often cited by research in Health Informatics (332 citations), Modeling and Simulation (854 citations), Infectious Diseases (1.9k citations), Health (769 citations) and Epidemiology (2.0k citations). Caterina Rizzo has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Alberto Eugenio Tozzi, Antonino Bella, Angela Carati, Giuseppe Bellussi, Guglielmo Arzilli, Francesco Baglivo, Roberto Millini, Luigi De Angelis, Marco Tagliabue and Giovanni Rezza. Their work appears in journals such as Eurosurveillance, Vaccine, PLoS ONE, Microporous and Mesoporous Materials and BMC Infectious Diseases.
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.