Philippe Beutels

22.3k citations
334 papers · 10.8k indexed · 1 hit paper · h-index 51
Topics
COVID-19 epidemiological studies (79 papers)Vaccine Coverage and Hesitancy (77 papers)Influenza Virus Research Studies (51 papers)

In The Last Decade

Philippe Beutels

323 papers receiving 10.5k citations

Hit Papers

Social Contacts and Mixing Patterns Relevant to the Sprea...2008202620142020200850010001.5k

Peers

Philippe Beutels
Comparison fields: 5 of 181
  • Epidemiology 4.6k
  • Modeling and Simulation 3.7k
  • Infectious Diseases 2.9k
  • Health 1.8k
  • Economics and Econometrics 1.6k
Replace C. Raina MacIntyre with:
C. Raina MacIntyre Australia
Mirjam Kretzschmar Netherlands
Alison P. Galvani United States
Mark Jit United Kingdom
W. John Edmunds United Kingdom
Niel Hens Belgium
Lone Simonsen United States
John D. Clemens United States
Pierre‐Yves Boëlle France
Annelies Wilder‐Smith Singapore
Philippe Beutels relative to C. Raina MacIntyre Australia C. Raina MacIntyre's profile →
Citations per field
00.5×1.5×
C. Raina MacIntyre · 1×
Citations per year

Countries citing papers authored by Philippe Beutels

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Beutels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Beutels

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Beutels. A scholar is included among the top collaborators of Philippe Beutels 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 Philippe Beutels. Philippe Beutels 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 1
2 2
3 6
4 3
5 56
6 50
7 3
8 3
9 123
10 31
11 12
12 47
13 2
14 17
15 1
16 1
17 0
18
Economic Impact of Influenza: The Macro Perspective
1
19 2
20 1

About Philippe Beutels

Philippe Beutels is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 334 papers that have together received 10.8k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (79 papers), Vaccine Coverage and Hesitancy (77 papers) and Influenza Virus Research Studies (51 papers). The work is most often cited by research in Modeling and Simulation (3.7k citations), Health (1.8k citations) and Infectious Diseases (2.9k citations). Philippe Beutels has collaborated with scholars based in Belgium, Australia and United Kingdom. Frequent co-authors include Niel Hens, Pierre Van Damme, Joke Bilcke, Lander Willem, Mark Jit, W. John Edmunds, Frederik Verelst, Marc Aerts, Joël Mossong and Jacco Wallinga. Their work appears in journals such as Nature Communications, Blood 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.

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