Monique Chilver
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
Papers in
- Epidemiology 14
- Influenza Virus Research Studies 14
- Respiratory viral infections research 12
- Data-Driven Disease Surveillance 2
-
- Viral Infections and Vectors 3
- Co-authors
- Nigel Stocks (17 shared papers)Sheena G. Sullivan (8 shared papers)Cara Minney–Smith (3 shared papers)Allen Cheng (2 shared papers)Bruce Taylor (1 shared paper)Jen Kok (1 shared paper)Melissa Irwin (1 shared paper)Ian Barr (2 shared papers)
- Journals
- Vaccine (3 papers)Epidemiology and Infection (2 papers)The Medical Journal of Australia (2 papers)Influenza and Other Respiratory Viruses (2 papers)Eurosurveillance (2 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Monique Chilver
19 papers receiving 436 citations
Peers
Comparison fields: 5 of 66
- Modeling and Simulation 105
- Epidemiology 367
- Infectious Diseases 143
- Health 48
- Applied Microbiology and Biotechnology 8
Countries citing papers authored by Monique Chilver
This map shows the geographic impact of Monique Chilver'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 Monique Chilver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monique Chilver more than expected).
Fields of papers citing papers by Monique Chilver
This network shows the impact of papers produced by Monique Chilver. 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 Monique Chilver. The network helps show where Monique Chilver may publish in the future.
Co-authors
The 25 scholars most cited alongside Monique Chilver, 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 | 2020 | 203 | |
| 2 | 2017 | 79 | |
| 3 | 2014 | 23 | |
| 4 | 2016 | 22 | |
| 5 | 2016 | 21 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2016 | 10 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 4 | |
| 14 | 2025 | 2 | |
| 15 | 2016 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2015 | 1 |
About Monique Chilver
Monique Chilver is a scholar working on Epidemiology, Infectious Diseases, Health, Modeling and Simulation and Molecular Biology, having authored 19 papers that have together received 444 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (14 papers), Respiratory viral infections research (12 papers), COVID-19 epidemiological studies (3 papers), Viral Infections and Vectors (3 papers), Vaccine Coverage and Hesitancy (3 papers), Data-Driven Disease Surveillance (2 papers), Biosensors and Analytical Detection (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Modeling and Simulation (105 citations), Epidemiology (367 citations), Infectious Diseases (143 citations), Health (48 citations) and Applied Microbiology and Biotechnology (8 citations). Monique Chilver has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Nigel Stocks, Sheena G. Sullivan, Cara Minney–Smith, Allen Cheng, Bruce Taylor, Jen Kok, Melissa Irwin, Ian Barr, Dominic E. Dwyer and Kristine Macartney. Their work appears in journals such as Vaccine, Epidemiology and Infection, The Medical Journal of Australia, Influenza and Other Respiratory Viruses and Eurosurveillance.
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.