Michiel van Boven
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 27
- Agronomy and Crop Science top 0.5%
- Animal Disease Management and Epidemiology 33
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 10
- Viral Infections and Vectors 7
- Epidemiology top 1%
- Influenza Virus Research Studies 50
- Respiratory viral infections research 14
- Pneumonia and Respiratory Infections 7
- Microbiology top 2%
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- Vaccine Coverage and Hesitancy 9
- Co-authors
- M.C.M. de JongMirjam KretzschmarA. BoumaJacco WallingaGuus KochGanna RozhnovaArjan StegemanMartin Bootsma
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)PLoS ONE (6 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Michiel van Boven
87 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Modeling and Simulation 1.0k
- Agronomy and Crop Science 1.2k
- Infectious Diseases 1.2k
- Epidemiology 2.0k
- Microbiology 219
Countries citing papers authored by Michiel van Boven
This map shows the geographic impact of Michiel van Boven'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 Michiel van Boven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michiel van Boven more than expected).
Fields of papers citing papers by Michiel van Boven
This network shows the impact of papers produced by Michiel van Boven. 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 Michiel van Boven. The network helps show where Michiel van Boven may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michiel van Boven, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 22 | |
| 2 | 2024 | 6 | |
| 3 | 2021 | 25 | |
| 4 | 2021 | 36 | |
| 5 | 2021 | 58 | |
| 6 | 2020 | 10 | |
| 7 | 2018 | 20 | |
| 8 | 2017 | 32 | |
| 9 | 2016 | 20 | |
| 10 | 2014 | 6 | |
| 11 | 2014 | 16 | |
| 12 | 2011 | 40 | |
| 13 | 2011 | 39 | |
| 14 | 2010 | 58 | |
| 15 | Bestrijding van de nieuwe influenza A (H1N1). II: epidemiologie en niet-medicamenteuze maatregelen. | 2009 | 1 |
| 16 | 2009 | 115 | |
| 17 | 2009 | 6 | |
| 18 | 2007 | 37 | |
| 19 | 2005 | 198 | |
| 20 | 2004 | 41 |
About Michiel van Boven
Michiel van Boven is a scholar working on Modeling and Simulation, Agronomy and Crop Science and Epidemiology, having authored 90 papers that have together received 3.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (50 papers), Animal Disease Management and Epidemiology (33 papers), COVID-19 epidemiological studies (27 papers), Respiratory viral infections research (14 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Vaccine Coverage and Hesitancy (9 papers), Viral Infections and Vectors (7 papers) and Pneumonia and Respiratory Infections (7 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Agronomy and Crop Science (1.2k citations) and Infectious Diseases (1.2k citations). Michiel van Boven has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include M.C.M. de Jong, Mirjam Kretzschmar, A. Bouma, Jacco Wallinga, Guus Koch, Ganna Rozhnova, Arjan Stegeman, Martin Bootsma, Janneke van de Wijgert and Marc J. M. Bonten. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.