Philippe Beutels
Impact in
- Modeling and Simulation top 0.05%
- COVID-19 epidemiological studies
- Health top 0.2%
- Vaccine Coverage and Hesitancy
Papers in
- Epidemiology 166
- Influenza Virus Research Studies 38
- Pneumonia and Respiratory Infections 37
- Herpesvirus Infections and Treatments 32
- Respiratory viral infections research 28
- Health 65
- Vaccine Coverage and Hesitancy 62
- Co-authors
- Niel Hens (123 shared papers)Pierre Van Damme (98 shared papers)Lander Willem (54 shared papers)Joke Bilcke (60 shared papers)Mark Jit (22 shared papers)W. John Edmunds (16 shared papers)Frederik Verelst (15 shared papers)Marc Aerts (29 shared papers)
In The Last Decade
Philippe Beutels
324 papers receiving 10.7k citations
Philippe Beutels's Hit Papers
Peers
Comparison fields: 5 of 177
- Modeling and Simulation 3.0k
- Health 1.2k
- Infectious Diseases 2.3k
- Epidemiology 3.9k
- Hepatology 708
Countries citing papers authored by Philippe Beutels
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
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-authors
The 25 scholars most cited alongside Philippe Beutels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 334 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases Hit paper breakdown → | 2008 | 1953 |
| 2 | 2009 | 264 | |
| 3 | Behavioural change models for infectious disease transmission: a systematic review (2010–2015) Hit paper breakdown → | 2016 | 261 |
| 4 | 2012 | 250 | |
| 5 | 2007 | 205 | |
| 6 | 2009 | 168 | |
| 7 | 2009 | 147 | |
| 8 | 2011 | 139 | |
| 9 | 2020 | 138 | |
| 10 | 2021 | 129 | |
| 11 | 2009 | 128 | |
| 12 | 2019 | 127 | |
| 13 | 2015 | 127 | |
| 14 | 2009 | 125 | |
| 15 | 2017 | 110 | |
| 16 | 2011 | 107 | |
| 17 | 2001 | 105 | |
| 18 | 2007 | 102 | |
| 19 | 2006 | 100 | |
| 20 | 2001 | 98 |
About Philippe Beutels
Philippe Beutels is a scholar working on Epidemiology, Health, Modeling and Simulation, Infectious Diseases and Economics and Econometrics, having authored 334 papers that have together received 11.0k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (62 papers), COVID-19 epidemiological studies (61 papers), Influenza Virus Research Studies (38 papers), Pneumonia and Respiratory Infections (37 papers), Herpesvirus Infections and Treatments (32 papers), Health Systems, Economic Evaluations, Quality of Life (29 papers), Respiratory viral infections research (28 papers) and Hepatitis Viruses Studies and Epidemiology (28 papers). The work is most often cited by research in Modeling and Simulation (3.0k citations), Health (1.2k citations), Infectious Diseases (2.3k citations), Epidemiology (3.9k citations) and Hepatology (708 citations). Philippe Beutels has collaborated with scholars based in Belgium, Australia and Uganda. Frequent co-authors include Niel Hens, Pierre Van Damme, Lander Willem, Joke Bilcke, Mark Jit, W. John Edmunds, Frederik Verelst, Marc Aerts, Joël Mossong and Jacco Wallinga. Their work appears in journals such as Vaccine, PharmacoEconomics, Epidemiology and Infection, PLoS ONE and BMC Public Health.
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.