Maarten van Wijhe
- Epidemiology
- Health top 10%
- Infectious Diseases
- Modeling and Simulation top 5%
- Economics and Econometrics
- Co-authors
- Scott McDonaldJacco WallingaMaarten J. PostmaHester E. de MelkerLone SimonsenMattijs LambooijNiek MouterG. Ardine de Wit
- Topics
- Influenza Virus Research Studies (10 papers)Vaccine Coverage and Hesitancy (8 papers)COVID-19 epidemiological studies (6 papers)
- Partner nations
- DenmarkNetherlandsBelgium
In The Last Decade
Maarten van Wijhe
20 papers receiving 216 citations
Peers
Comparison fields: 5 of 62
- Epidemiology 106
- Health 76
- Infectious Diseases 65
- Modeling and Simulation 53
- Economics and Econometrics 29
Countries citing papers authored by Maarten van Wijhe
This map shows the geographic impact of Maarten van Wijhe'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 Maarten van Wijhe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten van Wijhe more than expected).
Fields of papers citing papers by Maarten van Wijhe
This network shows the impact of papers produced by Maarten van Wijhe. 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 Maarten van Wijhe. The network helps show where Maarten van Wijhe may publish in the future.
Co-authorship network of co-authors of Maarten van Wijhe
This figure shows the co-authorship network connecting the top 25 collaborators of Maarten van Wijhe. A scholar is included among the top collaborators of Maarten van Wijhe 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 Maarten van Wijhe. Maarten van Wijhe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 31 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 26 | |
| 10 | 24 | |
| 11 | De meeste Nederlanders staan niet vooraan in de rij voor een COVID-19 vaccin : Beleidsrapport over de hoofdresultaten van een keuze experiment naar de voorkeuren van Nederlanders voor een COVID-19 vaccin | 1 |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 11 | |
| 17 | 18 | |
| 18 | 3 | |
| 19 | 58 | |
| 20 | Eff ect of vaccination programmes on mortality burden among children and young adults in the Netherlands during the 20th century: a historical analysis | 1 |
About Maarten van Wijhe
Maarten van Wijhe is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 21 papers that have together received 220 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Vaccine Coverage and Hesitancy (8 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Modeling and Simulation (53 citations), Health (76 citations) and Infectious Diseases (65 citations). Maarten van Wijhe has collaborated with scholars based in Denmark, Netherlands and Belgium. Frequent co-authors include Scott McDonald, Jacco Wallinga, Maarten J. Postma, Hester E. de Melker, Lone Simonsen, Mattijs Lambooij, Niek Mouter, G. Ardine de Wit, Job van Exel and Viggo Andreasen. Their work appears in journals such as American Journal of Epidemiology, Social Science & Medicine and The Lancet 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.