David Muscatello
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 25
- Emergency Medicine top 2%
- Emergency and Acute Care Studies 24
- Trauma and Emergency Care Studies 11
- Epidemiology top 2%
- Influenza Virus Research Studies 47
- Respiratory viral infections research 30
- Data-Driven Disease Surveillance 21
- Pneumonia and Respiratory Infections 13
- Health top 5%
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- Climate Change and Health Impacts 8
- Co-authors
- Anthony T. NewallWayan Citra Wulan Sucipta PutriMelissa S. StockwellC. Raina MacIntyreTim ChurchesWei Xing ZhengMichael DinhKendall J Bein
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
David Muscatello
110 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Modeling and Simulation 334
- Emergency Medicine 356
- Epidemiology 1.2k
- Health 192
- Health Information Management 83
Countries citing papers authored by David Muscatello
This map shows the geographic impact of David Muscatello'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 David Muscatello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Muscatello more than expected).
Fields of papers citing papers by David Muscatello
This network shows the impact of papers produced by David Muscatello. 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 David Muscatello. The network helps show where David Muscatello may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Muscatello, 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 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 10 | |
| 9 | 2018 | 21 | |
| 10 | 2018 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2016 | 3 | |
| 13 | That’s entertainment: trends in late-night assaults and acute alcohol illness in Sydney's entertainment precinct | 2015 | 6 |
| 14 | 2015 | 23 | |
| 15 | 2015 | 15 | |
| 16 | 2010 | 45 | |
| 17 | Progression and impact of the first winter wave of the 2009 pandemic H1N1 influenza in New South Wales, Australia. | 2009 | 48 |
| 18 | 2006 | 1 | |
| 19 | 2005 | 0 | |
| 20 | 2001 | 49 |
About David Muscatello
David Muscatello is a scholar working on Modeling and Simulation, Emergency Medicine and Epidemiology, having authored 116 papers that have together received 2.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (47 papers), Respiratory viral infections research (30 papers), COVID-19 epidemiological studies (25 papers), Emergency and Acute Care Studies (24 papers), Data-Driven Disease Surveillance (21 papers), Pneumonia and Respiratory Infections (13 papers), Trauma and Emergency Care Studies (11 papers) and Climate Change and Health Impacts (8 papers). The work is most often cited by research in Modeling and Simulation (334 citations), Emergency Medicine (356 citations) and Epidemiology (1.2k citations). David Muscatello has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Anthony T. Newall, Wayan Citra Wulan Sucipta Putri, Melissa S. Stockwell, C. Raina MacIntyre, Tim Churches, Wei Xing Zheng, Michael Dinh, Kendall J Bein, Robin Turner and Ross Sparks. Their work appears in journals such as PLoS ONE, PEDIATRICS and Journal of Clinical Epidemiology.
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.