Philippe Beutels

22.3k total citations · 1 hit paper
334 papers, 10.8k citations indexed

About

Philippe Beutels is a scholar working on Epidemiology, Health and Modeling and Simulation. According to data from OpenAlex, Philippe Beutels has authored 334 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Epidemiology, 84 papers in Health and 80 papers in Modeling and Simulation. Recurrent topics in Philippe Beutels's work include COVID-19 epidemiological studies (79 papers), Vaccine Coverage and Hesitancy (77 papers) and Influenza Virus Research Studies (51 papers). Philippe Beutels is often cited by papers focused on COVID-19 epidemiological studies (79 papers), Vaccine Coverage and Hesitancy (77 papers) and Influenza Virus Research Studies (51 papers). Philippe Beutels collaborates with scholars based in Belgium, Australia and United Kingdom. Philippe Beutels's 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 and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Philippe Beutels

323 papers receiving 10.5k citations

Hit Papers

Social Contacts and Mixing Patterns Relevant to the Sprea... 2008 2026 2014 2020 2008 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philippe Beutels Belgium 51 4.6k 3.7k 2.9k 1.8k 1.6k 334 10.8k
W. John Edmunds United Kingdom 67 6.8k 1.5× 5.5k 1.5× 4.6k 1.6× 1.9k 1.0× 1.4k 0.9× 226 14.7k
Niel Hens Belgium 50 4.6k 1.0× 4.0k 1.1× 2.8k 1.0× 1.4k 0.8× 860 0.5× 382 11.0k
Mark Jit United Kingdom 58 7.0k 1.5× 3.9k 1.0× 4.0k 1.4× 3.4k 1.9× 1.7k 1.1× 355 14.2k
Pierre‐Yves Boëlle France 56 4.4k 1.0× 4.1k 1.1× 3.1k 1.1× 579 0.3× 928 0.6× 302 12.7k
C. Raina MacIntyre Australia 61 5.6k 1.2× 2.6k 0.7× 4.2k 1.4× 2.3k 1.3× 1.1k 0.7× 563 16.0k
Alison P. Galvani United States 58 4.4k 1.0× 4.9k 1.3× 5.4k 1.9× 1.7k 0.9× 1.0k 0.6× 284 14.0k
Mirjam Kretzschmar Netherlands 52 4.7k 1.0× 2.5k 0.7× 3.8k 1.3× 1.0k 0.6× 688 0.4× 291 11.2k
Hongjie Yu China 55 4.7k 1.0× 5.2k 1.4× 5.7k 2.0× 1.6k 0.9× 2.0k 1.2× 436 16.3k
Lone Simonsen United States 66 11.5k 2.5× 5.0k 1.3× 5.4k 1.9× 1.6k 0.9× 723 0.5× 194 18.1k
M. Elizabeth Halloran United States 49 4.6k 1.0× 6.5k 1.7× 4.4k 1.5× 1.4k 0.8× 1.6k 1.0× 161 13.0k

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
1.
Faes, Christel, Philippe Beutels, Koen Pepermans, et al.. (2024). The effect of spatio-temporal sample imbalance in epidemiologic surveillance using opportunistic samples: An ecological study using real and simulated self-reported COVID-19 symptom data. Spatial and Spatio-temporal Epidemiology. 50. 100676–100676. 1 indexed citations
2.
Tran, Phuong Bich, Georgios F. Nikolaidis, Emmanuel Abatih, et al.. (2024). Multimorbidity healthcare expenditure in Belgium: a 4-year analysis (COMORB study). Health Research Policy and Systems. 22(1). 35–35. 2 indexed citations
3.
Neels, Karel, et al.. (2023). Exploring the impact of population ageing on the spread of emerging respiratory infections and the associated burden of mortality. BMC Infectious Diseases. 23(1). 767–767. 6 indexed citations
4.
Ha, My Kieu, Tessa de Block, Isabel Brosius, et al.. (2023). Diagnosing Viral Infections Through T-Cell Receptor Sequencing of Activated CD8+ T Cells. The Journal of Infectious Diseases. 229(2). 507–516. 3 indexed citations
5.
Jit, Mark, et al.. (2021). Multi-country collaboration in responding to global infectious disease threats: lessons for Europe from the COVID-19 pandemic. The Lancet Regional Health - Europe. 9. 100221–100221. 56 indexed citations
6.
Abrams, Steven, James Wambua, Eva Santermans, et al.. (2021). Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories. Epidemics. 35. 100449–100449. 50 indexed citations
7.
Li, Xiao, Joke Bilcke, Alike W. van der Velden, et al.. (2021). Direct and Indirect Costs of Influenza-Like Illness Treated with and Without Oseltamivir in 15 European Countries: A Descriptive Analysis Alongside the Randomised Controlled ALIC4E Trial. Clinical Drug Investigation. 41(8). 685–699. 3 indexed citations
8.
Tsuzuki, Shinya, Norio Ohmagari, & Philippe Beutels. (2021). The burden of isolation to the individual: a comparison between isolation for COVID-19 and for other influenza-like illnesses in Japan. Epidemiology and Infection. 150. e5–e5. 3 indexed citations
9.
Hoang, Thang Van, Pietro Coletti, Alessia Melegaro, et al.. (2019). A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections. Epidemiology. 30(5). 723–736. 123 indexed citations
10.
Verelst, Frederik, Roselinde Kessels, Wim Delva, Philippe Beutels, & Lander Willem. (2019). Drivers of vaccine decision-making in South Africa: A discrete choice experiment. Vaccine. 37(15). 2079–2089. 31 indexed citations
11.
Wood, James, Philippe Beutels, Robert Menzies, et al.. (2018). The role of timeliness in the cost-effectiveness of older adult vaccination: A case study of pneumococcal conjugate vaccine in Australia. Vaccine. 36(10). 1265–1271. 12 indexed citations
12.
Verelst, Frederik, Lander Willem, Roselinde Kessels, & Philippe Beutels. (2018). Individual decisions to vaccinate one's child or oneself: A discrete choice experiment rejecting free-riding motives. Social Science & Medicine. 207. 106–116. 47 indexed citations
13.
Hanquet, Germaine, Lander Willem, Heidi Theeten, et al.. (2016). Use of pneumococcal vaccines in the elderly: an economic evaluation. 2 indexed citations
15.
Beutels, Philippe, Yannick Vandendijck, Lander Willem, et al.. (2013). Seasonal influenza vaccination: prioritizing children or other target groups?. 1 indexed citations
16.
Bilcke, Joke, Christiaan Marais, Albert Jan van Hoek, et al.. (2010). Kosteneffectiviteit van vaccinatie tegen windpokken bij kinderen en tegen zona bij ouderen in België. 1 indexed citations
17.
Bilcke, Joke, Philippe Beutels, Frank De Smet, et al.. (2007). Kosten-effectiviteitsanalyse van rotavirus vaccinatie van zuigelingen in België.
18.
Keogh-Brown, Marcus, Richard Smith, John Edmunds, & Philippe Beutels. (2007). Economic Impact of Influenza: The Macro Perspective. SSRN Electronic Journal. 1 indexed citations
19.
Beutels, Philippe, et al.. (2006). Effects and costs of pneumococcal conjugate vaccination of Belgian children. 2 indexed citations

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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