Frederik Verelst
- Modeling and Simulation top 0.5%
- Health top 5%
- Infectious Diseases top 10%
- Epidemiology
- Economics and Econometrics top 10%
- Co-authors
- Philippe BeutelsLander WillemElise KuylenNiel HensJoke BilckeRoselinde KesselsJacco WallingaWim Delva
- Topics
- COVID-19 epidemiological studies (9 papers)Influenza Virus Research Studies (8 papers)Respiratory viral infections research (8 papers)
- Partner nations
- BelgiumAustraliaUnited States
In The Last Decade
Frederik Verelst
24 papers receiving 780 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 394
- Health 227
- Infectious Diseases 202
- Epidemiology 192
- Economics and Econometrics 120
Countries citing papers authored by Frederik Verelst
This map shows the geographic impact of Frederik Verelst'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 Frederik Verelst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederik Verelst more than expected).
Fields of papers citing papers by Frederik Verelst
This network shows the impact of papers produced by Frederik Verelst. 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 Frederik Verelst. The network helps show where Frederik Verelst may publish in the future.
Co-authorship network of co-authors of Frederik Verelst
This figure shows the co-authorship network connecting the top 25 collaborators of Frederik Verelst. A scholar is included among the top collaborators of Frederik Verelst 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 Frederik Verelst. Frederik Verelst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 23 | |
| 12 | 11 | |
| 13 | 43 | |
| 14 | 17 | |
| 15 | 30 | |
| 16 | 134 | |
| 17 | 31 | |
| 18 | 14 | |
| 19 | 47 | |
| 20 | 249 |
About Frederik Verelst
Frederik Verelst is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 26 papers that have together received 797 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (8 papers) and Respiratory viral infections research (8 papers). The work is most often cited by research in Modeling and Simulation (394 citations), Health (227 citations) and Infectious Diseases (202 citations). Frederik Verelst has collaborated with scholars based in Belgium, Australia and United States. Frequent co-authors include Philippe Beutels, Lander Willem, Elise Kuylen, Niel Hens, Joke Bilcke, Roselinde Kessels, Jacco Wallinga, Wim Delva, Christel Faes and Aura Timen. Their work appears in journals such as PLoS ONE, Scientific Reports and Social Science & Medicine.
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.