Laurent Coudeville

5.2k citations
68 papers · 2.0k indexed · h-index 24

Laurent Coudeville

65 papers receiving 1.9k citations

Peers

Laurent Coudeville
Comparison fields: 5 of 130
  • Public Health, Environmental and Occupational Health 999
  • Infectious Diseases 797
  • Epidemiology 734
  • Modeling and Simulation 307
  • Health 171
Replace Kee Tai Goh with:
Kee Tai Goh Singapore
Anders Tegnell Sweden
Kevin Fonseca Canada
José Lourenço United Kingdom
Perry F. Smith United States
Angela R. McLean United Kingdom
Gustavo H. Dayan United States
Tini Garske United Kingdom
Jon Kim Andrus United States
Läétitia Ninove France
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Countries citing papers authored by Laurent Coudeville

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Coudeville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Coudeville

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Coudeville. A scholar is included among the top collaborators of Laurent Coudeville 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 Laurent Coudeville. Laurent Coudeville is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 9
5 1
6 4
7 3
8 10
9 8
10
Selected highlights from other journals: Estimating the global burden of canine rabies
1
11 15
12 35
13 58
14 324
15 31
16 55
17 26
18 45
19 70
20
[Economic analysis of diagnostic and therapeutic methods in cases of cold thyroid nodules].
1

About Laurent Coudeville

Laurent Coudeville is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (28 papers), Malaria Research and Control (17 papers) and COVID-19 epidemiological studies (16 papers). The work is most often cited by research in Modeling and Simulation (307 citations), Infectious Diseases (797 citations) and Public Health, Environmental and Occupational Health (999 citations). Laurent Coudeville has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Donald S. Shepard, Betzana Zambrano, Yara A. Halasa, Gustavo H. Dayan, Fabrice Bailleux, Nicolas Baurin, Benjamin Riche, Elisabeta Vergu, B. Dervaux and Geoff P. Garnett. Their work appears in journals such as Nature Communications, PLoS ONE and Clinical 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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