David Champredon
- Modeling and Simulation top 0.5%
- Infectious Diseases top 5%
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Economics and Econometrics top 10%
- Co-authors
- Jonathan DushoffDavid J. D. EarnSang Woo ParkMichael LiJoshua S. WeitzAnila QasimDavid MeyreJohn R. Speakman
- Topics
- COVID-19 epidemiological studies (19 papers)SARS-CoV-2 and COVID-19 Research (7 papers)Viral Infections and Outbreaks Research (7 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- 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
- Epidemiology 155
- Economics and Econometrics 83
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-authorship network of co-authors of David Champredon
This figure shows the co-authorship network connecting the top 25 collaborators of David Champredon. A scholar is included among the top collaborators of David Champredon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Champredon. David Champredon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 70 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 76 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 12 | |
| 18 | 23 | |
| 19 | 46 | |
| 20 | 4 |
About David Champredon
David Champredon is a scholar working on Modeling and Simulation, Infectious Diseases and 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 and COVID-19 Research (7 papers) and Viral Infections and Outbreaks Research (7 papers). The work is most often cited by research in Modeling and Simulation (369 citations), Infectious Diseases (354 citations) and Public Health, Environmental and Occupational Health (167 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, Michael Li, Joshua S. Weitz, Anila Qasim, David Meyre, John R. Speakman, Michelle Turcotte and Russell J. de Souza. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.