Dale Carcione
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 4
- Health top 5%
- Vaccine Coverage and Hesitancy 8
- Epidemiology top 10%
- Influenza Virus Research Studies 16
- Respiratory viral infections research 9
- Pneumonia and Respiratory Infections 3
- Microbiology top 5%
- Bacterial Infections and Vaccines 3
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 3
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Gary K. DowseDonna B MakPaul V. EfflerDavid W. SmithCarolien GielePeter RichmondPaul ArmstrongSimon H. Williams
- Journals
- Eurosurveillance (5 papers)The Pediatric Infectious Disease Journal (2 papers)Influenza and Other Respiratory Viruses (2 papers)
- Partner nations
- AustraliaUnited KingdomNew Zealand
In The Last Decade
Dale Carcione
21 papers receiving 554 citations
Peers
Comparison fields: 5 of 65
- Modeling and Simulation 122
- Health 156
- Epidemiology 466
- Microbiology 75
- Infectious Diseases 166
Countries citing papers authored by Dale Carcione
This map shows the geographic impact of Dale Carcione'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 Dale Carcione with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dale Carcione more than expected).
Fields of papers citing papers by Dale Carcione
This network shows the impact of papers produced by Dale Carcione. 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 Dale Carcione. The network helps show where Dale Carcione may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dale Carcione, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2015 | 39 | |
| 5 | 2014 | 24 | |
| 6 | Predictors of uptake of influenza vaccination--a survey of pregnant women in Western Australia. | 2013 | 40 |
| 7 | 2012 | 2 | |
| 8 | 2012 | 12 | |
| 9 | 2011 | 98 | |
| 10 | 2011 | 8 | |
| 11 | 2011 | 14 | |
| 12 | 2011 | 42 | |
| 13 | 2010 | 58 | |
| 14 | 2010 | 13 | |
| 15 | 2010 | 16 | |
| 16 | 2010 | 59 | |
| 17 | 2010 | 46 | |
| 18 | 2010 | 48 | |
| 19 | 2010 | 14 | |
| 20 | 2010 | 4 |
About Dale Carcione
Dale Carcione is a scholar working on Health, Modeling and Simulation, Epidemiology, Microbiology and Infectious Diseases, having authored 22 papers that have together received 570 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), Respiratory viral infections research (9 papers), Vaccine Coverage and Hesitancy (8 papers), COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Pneumonia and Respiratory Infections (3 papers), Bacterial Infections and Vaccines (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (122 citations), Health (156 citations), Epidemiology (466 citations), Microbiology (75 citations) and Infectious Diseases (166 citations). Dale Carcione has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Gary K. Dowse, Donna B Mak, Paul V. Effler, David W. Smith, Carolien Giele, Paul V. Effler, Peter Richmond, Paul Armstrong, Simon H. Williams and Heath Kelly. Their work appears in journals such as Eurosurveillance, The Pediatric Infectious Disease Journal, Influenza and Other Respiratory Viruses, Vaccine and Emerging 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.