Monique Chilver
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Data-Driven Disease Surveillance
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 13
- Respiratory viral infections research 7
- Data-Driven Disease Surveillance 2
-
- Viral Infections and Vectors 2
- SARS-CoV-2 detection and testing 1
- Co-authors
- Nigel Stocks (17 shared papers)Sheena G. Sullivan (8 shared papers)Cara Minney‐Smith (3 shared papers)Allen Cheng (2 shared papers)Kristine Macartney (1 shared paper)Dominic E. Dwyer (1 shared paper)Jen Kok (1 shared paper)David W. Smith (1 shared paper)
- Journals
- Vaccine (3 papers)Influenza and Other Respiratory Viruses (2 papers)Epidemiology and Infection (2 papers)Eurosurveillance (2 papers)The Medical Journal of Australia (2 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Monique Chilver
19 papers receiving 447 citations
Peers
Comparison fields: 5 of 54
- Modeling and Simulation 60
- Epidemiology 331
- Infectious Diseases 85
- Applied Microbiology and Biotechnology 8
- Health 23
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 | 208 | |
| 2 | 2017 | 80 | |
| 3 | 2014 | 24 | |
| 4 | 2016 | 22 | |
| 5 | 2016 | 21 | |
| 6 | 2018 | 16 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2016 | 10 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2013 | 1 |
About Monique Chilver
Monique Chilver is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Health and Information Systems, having authored 19 papers that have together received 455 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (7 papers), COVID-19 epidemiological studies (3 papers), Data-Driven Disease Surveillance (2 papers), Viral Infections and Vectors (2 papers), ICT in Developing Communities (1 paper), Biosensors and Analytical Detection (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Modeling and Simulation (60 citations), Epidemiology (331 citations), Infectious Diseases (85 citations), Applied Microbiology and Biotechnology (8 citations) and Health (23 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, Kristine Macartney, Dominic E. Dwyer, Jen Kok, David W. Smith, Ian Barr and Jennifer H MacLachlan. Their work appears in journals such as Vaccine, Influenza and Other Respiratory Viruses, Epidemiology and Infection, Eurosurveillance and The Medical Journal of Australia.
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.