Michiel van Boven

6.3k citations
90 papers · 3.5k indexed · 1 hit paper · h-index 31
Topics
Influenza Virus Research Studies (50 papers)Animal Disease Management and Epidemiology (33 papers)COVID-19 epidemiological studies (27 papers)

In The Last Decade

Michiel van Boven

87 papers receiving 3.4k citations

Hit Papers

Impact of delays on effectiveness of contact tracing stra...20202026202220242020100200300400

Peers

Michiel van Boven
Comparison fields: 5 of 132
  • Epidemiology 2.0k
  • Infectious Diseases 1.2k
  • Agronomy and Crop Science 1.2k
  • Modeling and Simulation 1.0k
  • Animal Science and Zoology 327
Replace Nicholas C. Grassly with:
Nicholas C. Grassly United Kingdom
Julia R. Gog United Kingdom
Antonino Bella Italy
Joël Mossong Luxembourg
Ellen Brooks‐Pollock United Kingdom
Wu‐Chun Cao China
Andrew W. Byrne Ireland
Zijian Feng China
Virginia E. Pitzer United States
Maciej F. Boni United Kingdom
Michiel van Boven relative to Nicholas C. Grassly United Kingdom Nicholas C. Grassly's profile →
Citations per field
00.5×1.5×2.4×
Nicholas C. Grassly · 1×
Citations per year

Countries citing papers authored by Michiel van Boven

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Michiel van Boven

This figure shows the co-authorship network connecting the top 25 collaborators of Michiel van Boven. A scholar is included among the top collaborators of Michiel van Boven 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 Michiel van Boven. Michiel van Boven 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
#WorkIndexed citations
1 22
2 6
3 25
4 36
5 58
6 10
7 20
8 32
9 20
10 6
11 16
12 40
13 39
14 58
15
Bestrijding van de nieuwe influenza A (H1N1). II: epidemiologie en niet-medicamenteuze maatregelen.
1
16 115
17 6
18 37
19 198
20 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) and COVID-19 epidemiological studies (27 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.

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