Nicholas Steyn
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 22
-
- SARS-CoV-2 detection and testing 1
- COVID-19 Clinical Research Studies 1
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Michael John Plank (24 shared papers)Shaun C. Hendy (23 shared papers)Audrey G. Lustig (20 shared papers)Rachelle N. Binny (20 shared papers)Alex James (19 shared papers)Andrew A. Sporle (2 shared papers)Christl Ann Donnelly (5 shared papers)Christina Joanne Atchison (2 shared papers)
- Journals
- Mathematical Medicine and Biology A Journal of the IMA (2 papers)PLoS ONE (2 papers)Statistics in Medicine (1 paper)Journal of the Royal Society of New Zealand (1 paper)Journal of The Royal Society Interface (1 paper)
- Partner nations
- New ZealandUnited KingdomDemocratic Republic of the Congo
In The Last Decade
Nicholas Steyn
22 papers receiving 488 citations
Peers
Comparison fields: 5 of 38
- Modeling and Simulation 187
- Infectious Diseases 78
- Health 26
- Geriatrics and Gerontology 3
- Neurology 10
Countries citing papers authored by Nicholas Steyn
This map shows the geographic impact of Nicholas Steyn'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 Nicholas Steyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Steyn more than expected).
Fields of papers citing papers by Nicholas Steyn
This network shows the impact of papers produced by Nicholas Steyn. 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 Nicholas Steyn. The network helps show where Nicholas Steyn may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Steyn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 84 | |
| 2 | 2020 | 60 | |
| 3 | 2020 | 48 | |
| 4 | 2021 | 33 | |
| 5 | 2022 | 33 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 27 | |
| 8 | 2022 | 25 | |
| 9 | 2023 | 25 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 21 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2020 | 4 | |
| 20 | 2025 | 3 |
About Nicholas Steyn
Nicholas Steyn is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Information Systems and Nuclear Energy and Engineering, having authored 30 papers that have together received 501 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (22 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), SARS-CoV-2 detection and testing (1 paper), COVID-19 Clinical Research Studies (1 paper), COVID-19 Digital Contact Tracing (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Modeling and Simulation (187 citations), Infectious Diseases (78 citations), Health (26 citations), Geriatrics and Gerontology (3 citations) and Neurology (10 citations). Nicholas Steyn has collaborated with scholars based in New Zealand, United Kingdom and Democratic Republic of the Congo. Frequent co-authors include Michael John Plank, Shaun C. Hendy, Audrey G. Lustig, Rachelle N. Binny, Alex James, Andrew A. Sporle, Christl Ann Donnelly, Christina Joanne Atchison, Matthew D. Whitaker and David G. Tang. Their work appears in journals such as Mathematical Medicine and Biology A Journal of the IMA, PLoS ONE, Statistics in Medicine, Journal of the Royal Society of New Zealand and Journal of The Royal Society Interface.
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.