David Champredon

1.5k citations
35 papers · 796 · h-index 13

Impact in

    • COVID-19 epidemiological studies
    • 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

David Champredon

34 papers receiving 787 citations

Peers

David Champredon
Comparison fields: 5 of 106
  • Modeling and Simulation 340
  • Infectious Diseases 331
  • Public Health, Environmental and Occupational Health 151
  • Health 39
  • Epidemiology 132
Replace Keisuke Ejima with:
Keisuke Ejima United States
Xinghuo Pang China
Mohamed H. Al‐Thani Qatar
Anne M. Presanis United Kingdom
Antonia Ho United Kingdom
Guillaume Béraud France
Steven Abrams Belgium
Jen-Hsiang Chuang Taiwan
Andrea Thomas-Bachli Canada
Pauline Vetter Switzerland
David Champredon relative to Keisuke Ejima United States Keisuke Ejima's profile →
Citations per field
00.5×1.5×2.3×
Keisuke Ejima · 1×
Citations per year

Countries citing papers authored by David Champredon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Champredon Line = papers co-authored together David Champredon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 202078
3 202273
4 201870
5 201555
6 201546
7 202045
8 202042
9 201936
10 201525
11 202018
12 202114
13 201612
14 201812
15 201712
16 201811
17 202210
18 202310
19 20229
20 20219

About David Champredon

David Champredon is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 35 papers that have together received 796 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (17 papers), SARS-CoV-2 detection and testing (7 papers), Viral Infections and Outbreaks Research (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Biosensors and Analytical Detection (3 papers), COVID-19 Pandemic Impacts (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Agricultural risk and resilience (2 papers). The work is most often cited by research in Modeling and Simulation (340 citations), Infectious Diseases (331 citations), Public Health, Environmental and Occupational Health (151 citations), Health (39 citations) and Epidemiology (132 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, Anila Qasim, Michelle Turcotte, David Meyre, M. Constantine Samaan and John R. Speakman. Their work appears in journals such as Epidemics, Scientific Reports, Canada Communicable Disease Report, PLoS ONE 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.

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