Lander Willem
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Health top 2%
- Vaccine Coverage and Hesitancy
Papers in
- Epidemiology 35
- Influenza Virus Research Studies 23
- Respiratory viral infections research 10
- Pneumonia and Respiratory Infections 6
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- COVID-19 epidemiological studies 30
- Co-authors
- Philippe Beutels (54 shared papers)Frederik Verelst (11 shared papers)Niel Hens (40 shared papers)Joke Bilcke (20 shared papers)Pietro Coletti (15 shared papers)Kim Van Kerckhove (10 shared papers)Roselinde Kessels (4 shared papers)James Wambua (8 shared papers)
- Journals
- Vaccine (6 papers)BMC Infectious Diseases (4 papers)BMC Public Health (4 papers)PLoS Computational Biology (4 papers)PLoS ONE (4 papers)
- Partner nations
- BelgiumAustraliaUnited Kingdom
In The Last Decade
Lander Willem
69 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 135
- Modeling and Simulation 800
- Health 291
- Infectious Diseases 376
- Epidemiology 654
- Applied Microbiology and Biotechnology 37
Countries citing papers authored by Lander Willem
This map shows the geographic impact of Lander Willem'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 Lander Willem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lander Willem more than expected).
Fields of papers citing papers by Lander Willem
This network shows the impact of papers produced by Lander Willem. 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 Lander Willem. The network helps show where Lander Willem may publish in the future.
Co-authors
The 25 scholars most cited alongside Lander Willem, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 249 | |
| 2 | 2017 | 108 | |
| 3 | 2020 | 73 | |
| 4 | 2012 | 71 | |
| 5 | 2020 | 70 | |
| 6 | 2019 | 64 | |
| 7 | 2021 | 52 | |
| 8 | 2013 | 51 | |
| 9 | 2021 | 50 | |
| 10 | 2018 | 47 | |
| 11 | 2020 | 46 | |
| 12 | 2021 | 43 | |
| 13 | 2015 | 42 | |
| 14 | 2020 | 34 | |
| 15 | 2021 | 32 | |
| 16 | 2018 | 32 | |
| 17 | 2019 | 31 | |
| 18 | 2023 | 31 | |
| 19 | 2022 | 29 | |
| 20 | 2015 | 26 |
About Lander Willem
Lander Willem is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Health and Economics and Econometrics, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (30 papers), Influenza Virus Research Studies (23 papers), Vaccine Coverage and Hesitancy (17 papers), Respiratory viral infections research (10 papers), Viral Infections and Outbreaks Research (8 papers), Pneumonia and Respiratory Infections (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and COVID-19 Pandemic Impacts (5 papers). The work is most often cited by research in Modeling and Simulation (800 citations), Health (291 citations), Infectious Diseases (376 citations), Epidemiology (654 citations) and Applied Microbiology and Biotechnology (37 citations). Lander Willem has collaborated with scholars based in Belgium, Australia and United Kingdom. Frequent co-authors include Philippe Beutels, Frederik Verelst, Niel Hens, Joke Bilcke, Pietro Coletti, Kim Van Kerckhove, Roselinde Kessels, James Wambua, Mark Jit and Christel Faes. Their work appears in journals such as Vaccine, BMC Infectious Diseases, BMC Public Health, PLoS Computational Biology 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.