Nicholas Steyn

869 citations
38 papers · 572 · h-index 15

Impact in

Papers in

Nicholas Steyn

31 papers receiving 562 citations

Peers

Nicholas Steyn
Comparison fields: 5 of 89
  • Modeling and Simulation 285
  • Infectious Diseases 210
  • Health 47
  • Epidemiology 102
  • Emergency Medical Services 13
Replace Wongyeong Choi with:
Wongyeong Choi South Korea
Atsuyoshi Ishizumi United States
Daniela Olivera Mesa United Kingdom
Shu-Wan Jian Taiwan
Oscar Kallay Belgium
Mathias Dzobo South Africa
Yiseul Lee United States
Jukka Pukkila Denmark
Valerie T J Koh Singapore
Andrea Stewart United States
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Citations per field
00.5×2×3.3×
Wongyeong Choi · 1×
Citations per year

Countries citing papers authored by Nicholas Steyn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nicholas Steyn Line = papers co-authored together Nicholas Steyn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202283
2
Estimated inequities in COVID-19 infection fatality rates by ethnicity for Aotearoa New Zealand.
202046
3 202038
4
Māori and Pacific people in New Zealand have a higher risk of hospitalisation for COVID-19.
202136
5 202231
6 202025
7 202025
8 202225
9 202124
10 202323
11 202123
12 202120
13 202020
14 202119
15 202118
16 202015
17 202114
18 202114
19 202014
20 20209

About Nicholas Steyn

Nicholas Steyn is a scholar working on Modeling and Simulation, Infectious Diseases, Epidemiology, Information Systems and Health, having authored 38 papers that have together received 572 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (24 papers), Data-Driven Disease Surveillance (10 papers), Influenza Virus Research Studies (7 papers), COVID-19 Digital Contact Tracing (7 papers), Viral Infections and Outbreaks Research (5 papers), SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 Pandemic Impacts (3 papers). The work is most often cited by research in Modeling and Simulation (285 citations), Infectious Diseases (210 citations), Health (47 citations), Epidemiology (102 citations) and Emergency Medical Services (13 citations). Nicholas Steyn has collaborated with scholars based in New Zealand, United Kingdom and Slovakia. Frequent co-authors include Michael John Plank, Shaun C. Hendy, Rachelle N. Binny, Audrey G. Lustig, Alex James, Kannan Ridings, Andrew A. Sporle, Melissa McLeod, Tahu Kukutai and Christl Ann Donnelly. Their work appears in journals such as PLoS ONE, Mathematical Medicine and Biology A Journal of the IMA, American Journal of Epidemiology, The Journal of Infectious Diseases and American Journal of Public Health.

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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