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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Estimation of Reproduction Numbers in Real Time: Conceptual and Statistical Challenges
Lorenzo Pellis, Paul Birrell, Joshua Blake, et al.
Journal of the Royal Statistical Society Series A (Statistics in Society) (2022) Vol. 185, Iss. Supplement_1, pp. S112-S130
Open Access | Times Cited: 21

Showing 21 citing articles:

Are Epidemic Growth Rates More Informative than Reproduction Numbers?
Kris V. Parag, Robin N. Thompson, Christl A. Donnelly
Journal of the Royal Statistical Society Series A (Statistics in Society) (2022) Vol. 185, Iss. Supplement_1, pp. S5-S15
Open Access | Times Cited: 44
Inference of epidemic dynamics in the COVID-19 era and beyond
Anne Cori, Adam J. Kucharski
Epidemics (2024) Vol. 48, pp. 100784-100784
Open Access | Times Cited: 5
Evaluating a Public Health Assessment and Response Framework: SARS-CoV-2 Spread Under the Controlled Distancing Model of Rio Grande do Sul, Brazil
Ricardo Rohweder, Lavínia Schüler‐Faccini, Gonçalo Ferraz
Health Security (2025)
Closed Access
Time-varying reproduction number estimation: fusing compartmental models with generalized additive models
Xiaoxi Pang, Yang Han, Elise Tressier, et al.
Journal of The Royal Society Interface (2025) Vol. 22, Iss. 222
Open Access
Human behaviour, NPI and mobility reduction effects on COVID-19 transmission in different countries of the world
Zahra Mohammadi, M Cojocaru, Edward W. Thommes
BMC Public Health (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 23
How to avoid a local epidemic becoming a global pandemic
Nils Chr. Stenseth, Rudolf Schlatte, Xiaoli Liu, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 10
Open Access | Times Cited: 12
A sequential Monte Carlo approach to estimate a time-varying reproduction number in infectious disease models: the Covid-19 case
Geir Storvik, Alfonso Diz-Lois Palomares, Solveig Engebretsen, et al.
Journal of the Royal Statistical Society Series A (Statistics in Society) (2023) Vol. 186, Iss. 4, pp. 616-632
Open Access | Times Cited: 11
EpiBeds: Data informed modelling of the COVID-19 hospital burden in England
Christopher E. Overton, Lorenzo Pellis, Helena B. Stage, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010406-e1010406
Open Access | Times Cited: 18
Time-varying reproduction number estimation: Fusing compartmental models with generalised additive models
Xiaoxi Pang, Yang Han, Elise Tessier, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Statistics in Times of Increasing Uncertainty
Sylvia Richardson
Journal of the Royal Statistical Society Series A (Statistics in Society) (2022) Vol. 185, Iss. 4, pp. 1471-1496
Open Access | Times Cited: 9
Approximating reproduction numbers: a general numerical method for age-structured models
Simone De Reggi, Francesca Scarabel, Rossana Vermiglio
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 4, pp. 5360-5393
Open Access | Times Cited: 1
Nearly Instantaneous Time-Varying Reproduction Number for Contagious Diseases—a Direct Approach Based on Nonlinear Regression
Jūratė Šaltytė Benth, Fred Espen Benth, Espen Rostrup Nakstad
Journal of Computational Biology (2024) Vol. 31, Iss. 8, pp. 727-741
Closed Access | Times Cited: 1
Waiting list models must account for departures before treatment – Authors' reply
Syed Ahmar Shah, Chris Robertson, Aziz Sheikh
The Lancet (2024) Vol. 404, Iss. 10451, pp. 432-433
Closed Access | Times Cited: 1
A useful parametric specification to model epidemiological data: Revival of the Richards’ curve
Marco Mingione, Pierfrancesco Alaimo Di Loro, Antonello Maruotti
Statistical Methods in Medical Research (2024) Vol. 33, Iss. 8, pp. 1473-1494
Closed Access | Times Cited: 1
Genomic monitoring of SARS‐CoV‐2 variants using sentinel SARI hospital surveillance
Sarah Denayer, François E. Dufrasne, Bert Monsieurs, et al.
Influenza and Other Respiratory Viruses (2023) Vol. 17, Iss. 10
Open Access | Times Cited: 2
Robust uncertainty quantification in popular estimators of the instantaneous reproduction number
Nicholas Steyn, Kris V. Parag
(2024)
Open Access
Multiphasic stochastic epidemic models
Petros Barmpounakis, Nikolaos Demiris
Journal of the Royal Statistical Society Series C (Applied Statistics) (2024)
Open Access
Instantaneous reproduction number and epidemic growth rate for predicting COVID-19 waves: the first 2 years of the pandemic in Spain
Javier Llorca, Inés Gómez‐Acebo, Jéssica Alonso-Molero, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 1
SARS-CoV-2 Spread Under the Controlled-Distancing Model of Rio Grande do Sul, Brazil
Ricardo Rohweder, Lavínia Schüler‐Faccini, Gonçalo Ferraz
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Accuracy of Inferences About the Reproductive Number and Superspreading Potential of SARS-CoV-2 with Incomplete Contact Tracing Data
Henry Bayly, Xue W. Mei, Debra Van Egeren, et al.
Research Square (Research Square) (2023)
Open Access
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