P. Chaud

1.1k citations
28 papers · 876 · h-index 11

Impact in

Papers in

P. Chaud

26 papers receiving 839 citations

Peers

P. Chaud
Comparison fields: 5 of 77
  • Modeling and Simulation 100
  • Infectious Diseases 285
  • Anesthesiology and Pain Medicine 73
  • Critical Care and Intensive Care Medicine 40
  • Public Health, Environmental and Occupational Health 226
Replace Christina Yek with:
Christina Yek United States
Rachel C. Orscheln United States
Rok Čivljak Croatia
Virginie Vitrat France
Miranda M. L. van Rijen Netherlands
Emmanuel Lecorché France
Güven Çelebi Türkiye
Dawn M. Terashita United States
Karthik Paranthaman United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by P. Chaud

Since Specialization
Citations

This map shows the geographic impact of P. Chaud'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 P. Chaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Chaud more than expected).

Fields of papers citing papers by P. Chaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Chaud. 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 P. Chaud. The network helps show where P. Chaud may publish in the future.

Co-authors

The 25 scholars most cited alongside P. Chaud, 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 P. Chaud Line = papers co-authored together P. Chaud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020189
2 2013126
3 2017117
4 2019105
5 2009102
6 201649
7 200836
8 201432
9 201228
10 201816
11 199112
12 200711
13 20129
14 20139
15 20238
16 20176
17 20145
18 20244
19 20113
20
Épidémiologie de la dengue dans les Départements français d'Amérique
20112

About P. Chaud

P. Chaud is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and General Social Sciences, having authored 28 papers that have together received 876 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (5 papers), Mosquito-borne diseases and control (4 papers), Data-Driven Disease Surveillance (2 papers), Tuberculosis Research and Epidemiology (2 papers), Virology and Viral Diseases (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Suicide and Self-Harm Studies (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Modeling and Simulation (100 citations), Infectious Diseases (285 citations), Anesthesiology and Pain Medicine (73 citations), Critical Care and Intensive Care Medicine (40 citations) and Public Health, Environmental and Occupational Health (226 citations). P. Chaud has collaborated with scholars based in France, Guadeloupe and Sweden. Frequent co-authors include Christophe Di Pompéo, Saad Nseir, Charles‐Hugo Marquette, Alain Durocher, Hélène Brisson, Maimouna Diarra, Anne Decoppet, Sylvie Haeghebaert, Florian Franke and Mathilde Guerbois. Their work appears in journals such as Eurosurveillance, International Journal of Infectious Diseases, Frontiers in Public Health, Sexually Transmitted Infections 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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