Louise Dyson

3.9k total citations · 2 hit papers
48 papers, 2.0k citations indexed

About

Louise Dyson is a scholar working on Modeling and Simulation, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Louise Dyson has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Modeling and Simulation, 17 papers in Infectious Diseases and 8 papers in Molecular Biology. Recurrent topics in Louise Dyson's work include COVID-19 epidemiological studies (26 papers), SARS-CoV-2 and COVID-19 Research (15 papers) and COVID-19 Pandemic Impacts (6 papers). Louise Dyson is often cited by papers focused on COVID-19 epidemiological studies (26 papers), SARS-CoV-2 and COVID-19 Research (15 papers) and COVID-19 Pandemic Impacts (6 papers). Louise Dyson collaborates with scholars based in United Kingdom, United States and Belgium. Louise Dyson's co-authors include Michael J. Tildesley, Edward M. Hill, Matt J. Keeling, Sam Moore, Ellen Brooks‐Pollock, Jonathan M. Read, Krasimira Tsaneva‐Atanasova, Robert Challen, León Danon and Ruth E. Baker and has published in prestigious journals such as Physical Review Letters, Nature Medicine and Nature Communications.

In The Last Decade

Louise Dyson

45 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study

2021 452 citations Ellen Brooks‐Pollock, Louise Dyson et al. profile →
Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study

2021 388 citations Sam Moore, Edward M. Hill et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Louise Dyson United Kingdom	19	993	935	329	299	226	48	2.0k
Oliver J. Watson United Kingdom	20	836 0.8×	524 0.6×	457 1.4×	197 0.7×	405 1.8×	50	1.9k
Jasmina Panovska‐Griffiths United Kingdom	22	705 0.7×	695 0.7×	157 0.5×	436 1.5×	94 0.4×	86	2.1k
Robin N. Thompson United Kingdom	26	882 0.9×	1.3k 1.4×	154 0.5×	132 0.4×	406 1.8×	108	2.5k
Yen Ting Lin United States	15	523 0.5×	522 0.6×	163 0.5×	396 1.3×	126 0.6×	46	1.6k
Ruian Ke United States	21	1.2k 1.2×	815 0.9×	196 0.6×	277 0.9×	204 0.9×	55	2.3k
Michael J. Mina United States	30	2.2k 2.2×	792 0.8×	465 1.4×	700 2.3×	307 1.4×	59	4.6k
Nathanaël Hozé France	16	525 0.5×	482 0.5×	86 0.3×	200 0.7×	130 0.6×	33	1.3k
Shaun Truelove United States	19	375 0.4×	364 0.4×	262 0.8×	94 0.3×	79 0.3×	35	1.1k
Jaline Gerardin United States	17	177 0.2×	678 0.7×	97 0.3×	226 0.8×	439 1.9×	39	1.8k
Alison L. Hill United States	25	1.3k 1.3×	340 0.4×	97 0.3×	403 1.3×	325 1.4×	52	3.2k

Countries citing papers authored by Louise Dyson

Since Specialization

Citations

This map shows the geographic impact of Louise Dyson'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 Louise Dyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louise Dyson more than expected).

Fields of papers citing papers by Louise Dyson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Louise Dyson. 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 Louise Dyson. The network helps show where Louise Dyson may publish in the future.

Co-authorship network of co-authors of Louise Dyson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Keeling, Matt J. & Louise Dyson. (2024). A retrospective assessment of forecasting the peak of the SARS-CoV-2 Omicron BA.1 wave in England. PLoS Computational Biology. 20(9). e1012452–e1012452. 2 indexed citations

Cavallaro, Massimo, Louise Dyson, Michael J. Tildesley, Daniel Todkill, & Matt J. Keeling. (2023). Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern: a retrospective analysis. Journal of The Royal Society Interface. 20(208). 20230410–20230410. 1 indexed citations

Irvine, Michael A., Natalie Prystajecky, Hind Sbihi, et al.. (2023). Emergence of SARS-CoV-2 Delta Variant and Effect of Nonpharmaceutical Interventions, British Columbia, Canada. Emerging infectious diseases. 29(10). 1999–2007. 1 indexed citations

Hill, Edward M., et al.. (2023). Bayesian estimation of real-time epidemic growth rates using Gaussian processes: local dynamics of SARS-CoV-2 in England. Journal of the Royal Statistical Society Series C (Applied Statistics). 72(5). 1413–1434. 5 indexed citations

Tildesley, Michael J., Anna Vassall, Steven Riley, et al.. (2022). Optimal health and economic impact of non-pharmaceutical intervention measures prior and post vaccination in England: a mathematical modelling study. Royal Society Open Science. 9(8). 211746–211746. 14 indexed citations

Leng, Trystan, Edward M. Hill, Alex Holmes, et al.. (2022). Quantifying pupil-to-pupil SARS-CoV-2 transmission and the impact of lateral flow testing in English secondary schools. Nature Communications. 13(1). 1106–1106. 24 indexed citations

Keeling, Matt J., Louise Dyson, Glen Guyver‐Fletcher, et al.. (2022). Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number. Statistical Methods in Medical Research. 31(9). 1716–1737. 21 indexed citations

Moore, Sam, Edward M. Hill, Louise Dyson, Michael J. Tildesley, & Matt J. Keeling. (2022). Retrospectively modeling the effects of increased global vaccine sharing on the COVID-19 pandemic. Nature Medicine. 28(11). 2416–2423. 65 indexed citations

Brett, Tobias, et al.. (2021). Early warning signals of infectious disease transitions: a review. Journal of The Royal Society Interface. 18(182). 20210555–20210555. 23 indexed citations

10.

Keeling, Matt J., Glen Guyver‐Fletcher, Louise Dyson, et al.. (2021). Precautionary breaks: Planned, limited duration circuit breaks to control the prevalence of SARS-CoV2 and the burden of COVID-19 disease. Epidemics. 37. 100526–100526. 8 indexed citations

11.

Keeling, Matt J., Edward M. Hill, Erin E. Gorsich, et al.. (2021). Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies. PLoS Computational Biology. 17(1). e1008619–e1008619. 70 indexed citations

12.

Keeling, Matt J., Michael J. Tildesley, Bridget S. Penman, et al.. (2021). The impact of school reopening on the spread of COVID-19 in England. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200261–20200261. 38 indexed citations

13.

Enright, Jessica, Edward M. Hill, Helena B. Stage, et al.. (2021). SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student return. Royal Society Open Science. 8(8). 210310–210310. 10 indexed citations

14.

Byrne, Helen M., et al.. (2021). The risk of SARS-CoV-2 outbreaks in low prevalence settings following the removal of travel restrictions. SHILAP Revista de lepidopterología. 1(1). 39–39. 13 indexed citations

15.

Holmes, Alex, Michael J. Tildesley, Anthony W. Solomon, et al.. (2020). Modeling Treatment Strategies to Inform Yaws Eradication. Emerging infectious diseases. 26(11). 2685–2693. 7 indexed citations

16.

Dyson, Louise, Wilma A. Stolk, Sam H. Farrell, & T. Déirdre Hollingsworth. (2017). Measuring and modelling the effects of systematic non-adherence to mass drug administration. Epidemics. 18. 56–66. 60 indexed citations

17.

Dyson, Louise, et al.. (2016). Simplification and analysis of a model of social interaction in voting. Warwick Research Archive Portal (University of Warwick). 4 indexed citations

18.

Dyson, Louise, et al.. (2016). Staged Models for Interdisciplinary Research. PLoS ONE. 11(6). e0157261–e0157261. 8 indexed citations

19.

Chapman, Lloyd A. C., Louise Dyson, Orin Courtenay, et al.. (2015). Quantification of the natural history of visceral leishmaniasis and consequences for control. Parasites & Vectors. 8(1). 521–521. 32 indexed citations

20.

Biancalani, Tommaso, Louise Dyson, & Alan J. McKane. (2014). Noise-Induced Bistable States and Their Mean Switching Time in Foraging Colonies. Physical Review Letters. 112(3). 38101–38101. 97 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.

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