Nicholas Steyn

848 total citations
19 papers, 331 citations indexed

About

Nicholas Steyn is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Nicholas Steyn has authored 19 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 8 papers in Infectious Diseases and 8 papers in Epidemiology. Recurrent topics in Nicholas Steyn's work include COVID-19 epidemiological studies (15 papers), Data-Driven Disease Surveillance (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Nicholas Steyn is often cited by papers focused on COVID-19 epidemiological studies (15 papers), Data-Driven Disease Surveillance (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Nicholas Steyn collaborates with scholars based in New Zealand, United Kingdom and Slovakia. Nicholas Steyn's co-authors include Michael J. Plank, Audrey Lustig, Rachelle N. Binny, Shaun C. Hendy, Alex James, Andrew Sporle, Christl A. Donnelly, Melissa McLeod, Joshua Elliott and Ara Darzi and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nicholas Steyn

17 papers receiving 329 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicholas Steyn New Zealand 13 179 149 68 42 33 19 331
Christian Morgenstern United Kingdom 6 189 1.1× 118 0.8× 52 0.8× 84 2.0× 42 1.3× 23 301
Vivian Wan In Wei Hong Kong 7 202 1.1× 81 0.5× 115 1.7× 46 1.1× 50 1.5× 9 320
Jessica E. Stockdale Canada 7 231 1.3× 186 1.2× 66 1.0× 44 1.0× 20 0.6× 15 364
Sangeeta Bhatia United Kingdom 9 114 0.6× 117 0.8× 85 1.3× 22 0.5× 17 0.5× 26 328
Michelle Holshue United States 4 148 0.8× 157 1.1× 34 0.5× 42 1.0× 28 0.8× 8 372
Thi Mui Pham Netherlands 8 151 0.8× 106 0.7× 38 0.6× 57 1.4× 33 1.0× 15 326
Oscar Kallay Belgium 7 110 0.6× 139 0.9× 128 1.9× 56 1.3× 38 1.2× 10 387
Mohammad Fathi Alikhan Brunei 7 178 1.0× 186 1.2× 29 0.4× 40 1.0× 23 0.7× 11 325
Lee Kennedy‐Shaffer United States 9 144 0.8× 211 1.4× 59 0.9× 17 0.4× 31 0.9× 27 448
Nicholas G. Davies United Kingdom 8 199 1.1× 140 0.9× 75 1.1× 53 1.3× 74 2.2× 13 387

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-authorship network of co-authors of Nicholas Steyn

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Steyn. A scholar is included among the top collaborators of Nicholas Steyn 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 Nicholas Steyn. Nicholas Steyn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Steyn, Nicholas & Kris V. Parag. (2025). Robust uncertainty quantification in popular estimators of the instantaneous reproduction number. American Journal of Epidemiology. 194(11). 3355–3363. 1 indexed citations
2.
Steyn, Nicholas, Kris V. Parag, Robin N. Thompson, & Christl A. Donnelly. (2025). A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte Carlo. Statistics in Medicine. 44(18-19). e70204–e70204.
3.
Steyn, Nicholas, Jonathan A. Polonsky, William S. Hart, et al.. (2025). Simulation-based inference of the time-dependent reproduction number from temporally aggregated and under-reported disease incidence time series data. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2293). 20240412–20240412. 2 indexed citations
4.
Watson, Leighton M., Michael J. Plank, Joanne R. Chapman, et al.. (2024). Jointly estimating epidemiological dynamics of Covid-19 from case and wastewater data in Aotearoa New Zealand. SHILAP Revista de lepidopterología. 4(1). 143–143. 5 indexed citations
5.
Elliott, Paul, Matthew Whitaker, David Tang, et al.. (2023). Design and Implementation of a National SARS-CoV-2 Monitoring Program in England: REACT-1 Study. American Journal of Public Health. 113(5). 545–554. 16 indexed citations
6.
Plank, Michael J., Alex James, Audrey Lustig, et al.. (2022). Potential reduction in transmission of COVID-19 by digital contact tracing systems: a modelling study. Mathematical Medicine and Biology A Journal of the IMA. 39(2). 156–168. 8 indexed citations
7.
Elliott, Paul, Oliver Eales, Nicholas Steyn, et al.. (2022). Twin peaks: The Omicron SARS-CoV-2 BA.1 and BA.2 epidemics in England. Science. 376(6600). eabq4411–eabq4411. 67 indexed citations
8.
Binny, Rachelle N., Patricia Priest, Nigel French, et al.. (2022). Sensitivity of Reverse Transcription Polymerase Chain Reaction Tests for Severe Acute Respiratory Syndrome Coronavirus 2 Through Time. The Journal of Infectious Diseases. 227(1). 9–17. 24 indexed citations
9.
Steyn, Nicholas, et al.. (2022). A COVID-19 vaccination model for Aotearoa New Zealand. Scientific Reports. 12(1). 2720–2720. 22 indexed citations
10.
James, Alex, Michael J. Plank, Rachelle N. Binny, et al.. (2021). A structured model for COVID-19 spread: modelling age and healthcare inequities. Mathematical Medicine and Biology A Journal of the IMA. 38(3). 299–313. 12 indexed citations
11.
James, Alex, Michael J. Plank, Shaun C. Hendy, et al.. (2021). Successful contact tracing systems for COVID-19 rely on effective quarantine and isolation. PLoS ONE. 16(6). e0252499–e0252499. 22 indexed citations
12.
James, Alex, Michael J. Plank, Shaun C. Hendy, et al.. (2021). Model-free estimation of COVID-19 transmission dynamics from a complete outbreak. PLoS ONE. 16(3). e0238800–e0238800. 13 indexed citations
13.
Plank, Michael J., Alex James, & Nicholas Steyn. (2021). Comment: weekly COVID-19 testing with household quarantine and contact tracing is feasible and would probably end the epidemic. Royal Society Open Science. 8(6). 201546–201546.
14.
Binny, Rachelle N., Michael G. Baker, Shaun C. Hendy, et al.. (2021). Early intervention is the key to success in COVID-19 control. Royal Society Open Science. 8(11). 210488–210488. 17 indexed citations
15.
Steyn, Nicholas, Michael J. Plank, Alex James, et al.. (2021). Managing the risk of a COVID-19 outbreak from border arrivals. Journal of The Royal Society Interface. 18(177). 20210063–20210063. 17 indexed citations
16.
Steyn, Nicholas, Rachelle N. Binny, Shaun C. Hendy, et al.. (2021). Māori and Pacific people in New Zealand have a higher risk of hospitalisation for COVID-19.. PubMed. 134(1538). 28–43. 29 indexed citations
17.
Hendy, Shaun C., Nicholas Steyn, Alex James, et al.. (2021). Mathematical modelling to inform New Zealand's COVID‐19 response. Journal of the Royal Society of New Zealand. 51(S1). 20 indexed citations
18.
Steyn, Nicholas, Audrey Lustig, Shaun C. Hendy, Rachelle N. Binny, & Michael J. Plank. (2021). Effect of vaccination, border testing, and quarantine requirements on the risk of COVID-19 in New Zealand: A modelling study. Infectious Disease Modelling. 7(1). 184–198. 13 indexed citations
19.
Steyn, Nicholas, Rachelle N. Binny, Shaun C. Hendy, et al.. (2020). Estimated inequities in COVID-19 infection fatality rates by ethnicity for Aotearoa New Zealand.. PubMed. 133(1521). 28–39. 43 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026