David Champredon
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 detection and testing 7
- SARS-CoV-2 and COVID-19 Research 7
- Viral Infections and Outbreaks Research 7
-
- COVID-19 epidemiological studies 19
- Co-authors
- Jonathan Dushoff (14 shared papers)David J. D. Earn (5 shared papers)Sang Woo Park (4 shared papers)Joshua S. Weitz (3 shared papers)Michael Li (5 shared papers)Russell J. de Souza (1 shared paper)John R. Speakman (1 shared paper)David Meyre (1 shared paper)
- Journals
- Scientific Reports (3 papers)Epidemics (3 papers)Canada Communicable Disease Report (2 papers)Epidemiology and Infection (2 papers)BMC Infectious Diseases (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
David Champredon
34 papers receiving 762 citations
Peers
Comparison fields: 5 of 109
- Modeling and Simulation 369
- Infectious Diseases 354
- Public Health, Environmental and Occupational Health 167
- Health 45
- Epidemiology 155
Countries citing papers authored by David Champredon
This map shows the geographic impact of David Champredon'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 Champredon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Champredon more than expected).
Fields of papers citing papers by David Champredon
This network shows the impact of papers produced by David Champredon. 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 Champredon. The network helps show where David Champredon may publish in the future.
Co-authors
The 25 scholars most cited alongside David Champredon, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 159 | |
| 2 | 2020 | 76 | |
| 3 | 2022 | 70 | |
| 4 | 2018 | 68 | |
| 5 | 2015 | 53 | |
| 6 | 2015 | 46 | |
| 7 | 2020 | 44 | |
| 8 | 2020 | 40 | |
| 9 | 2019 | 34 | |
| 10 | 2015 | 23 | |
| 11 | 2020 | 17 | |
| 12 | 2021 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2016 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 8 |
About David Champredon
David Champredon is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Health and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 772 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (19 papers), SARS-CoV-2 detection and testing (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Outbreaks Research (7 papers), Biosensors and Analytical Detection (4 papers), COVID-19 diagnosis using AI (3 papers), HIV, Drug Use, Sexual Risk (3 papers) and COVID-19 Pandemic Impacts (3 papers). The work is most often cited by research in Modeling and Simulation (369 citations), Infectious Diseases (354 citations), Public Health, Environmental and Occupational Health (167 citations), Health (45 citations) and Epidemiology (155 citations). David Champredon has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jonathan Dushoff, David J. D. Earn, Sang Woo Park, Joshua S. Weitz, Michael Li, Russell J. de Souza, John R. Speakman, David Meyre, Michelle Turcotte and Anila Qasim. Their work appears in journals such as Scientific Reports, Epidemics, Canada Communicable Disease Report, Epidemiology and Infection 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.