Nele Goeyvaerts
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 11
- Health top 10%
- Vaccine Coverage and Hesitancy 10
- Epidemiology top 10%
- Influenza Virus Research Studies 7
- Virology and Viral Diseases 5
- Hepatitis B Virus Studies 4
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research 7
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology 5
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- Mathematical and Theoretical Epidemiology and Ecology Models 4
- Co-authors
- Niel HensPhilippe BeutelsMarc AertsPierre Van DammeZiv ShkedyJoël MossongJohn W. EdmundsGirma Minalu Ayele
- Journals
- PLoS ONE (2 papers)Proceedings of the Royal Society B Biological Sciences (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- BelgiumUnited StatesAustralia
In The Last Decade
Nele Goeyvaerts
26 papers receiving 692 citations
Peers
Comparison fields: 5 of 83
- Modeling and Simulation 463
- Health 104
- Epidemiology 379
- Infectious Diseases 168
- Agronomy and Crop Science 72
Countries citing papers authored by Nele Goeyvaerts
This map shows the geographic impact of Nele Goeyvaerts'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 Nele Goeyvaerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nele Goeyvaerts more than expected).
Fields of papers citing papers by Nele Goeyvaerts
This network shows the impact of papers produced by Nele Goeyvaerts. 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 Nele Goeyvaerts. The network helps show where Nele Goeyvaerts may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nele Goeyvaerts, 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 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 13 | |
| 7 | 2016 | 18 | |
| 8 | 2015 | 65 | |
| 9 | 2015 | 9 | |
| 10 | 2015 | 21 | |
| 11 | 2015 | 25 | |
| 12 | 2015 | 42 | |
| 13 | 2013 | 1 | |
| 14 | 2013 | 4 | |
| 15 | 2013 | 1 | |
| 16 | 2012 | 10 | |
| 17 | 2010 | 19 | |
| 18 | 2009 | 168 | |
| 19 | 2009 | 83 | |
| 20 | 2009 | 62 |
About Nele Goeyvaerts
Nele Goeyvaerts is a scholar working on Modeling and Simulation, Health and Infectious Diseases, having authored 27 papers that have together received 712 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Vaccine Coverage and Hesitancy (10 papers), Influenza Virus Research Studies (7 papers), Viral Infections and Outbreaks Research (7 papers), Virology and Viral Diseases (5 papers), Animal Disease Management and Epidemiology (5 papers), Hepatitis B Virus Studies (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). The work is most often cited by research in Modeling and Simulation (463 citations), Health (104 citations) and Epidemiology (379 citations). Nele Goeyvaerts has collaborated with scholars based in Belgium, United States and Australia. Frequent co-authors include Niel Hens, Philippe Beutels, Marc Aerts, Pierre Van Damme, Ziv Shkedy, Joël Mossong, John W. Edmunds, Girma Minalu Ayele, Benson Ogunjimi and Kim Van Kerckhove. Their work appears in journals such as PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Journal of Pharmacology and Experimental Therapeutics.
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.