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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:

Inferring the reproduction number using the renewal equation in heterogeneous epidemics
William D. Green, Neil M. Ferguson, Anne Cori
Journal of The Royal Society Interface (2022) Vol. 19, Iss. 188
Open Access | Times Cited: 16

Showing 16 citing articles:

Real-time estimation of the epidemic reproduction number: Scoping review of the applications and challenges
Rebecca K. Nash, Pierre Nouvellet, Anne Cori
PLOS Digital Health (2022) Vol. 1, Iss. 6, pp. e0000052-e0000052
Open Access | Times Cited: 34
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: 4
Enhancing global preparedness during an ongoing pandemic from partial and noisy data
Pascal Klamser, Valeria d’Andrea, Francesco Di Lauro, et al.
PNAS Nexus (2023) Vol. 2, Iss. 6
Open Access | Times Cited: 7
Combining models to generate a consensus effective reproduction numberRfor the COVID-19 epidemic status in England
Harrison Manley, Josie Park, Luke D. Bevan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Risk averse reproduction numbers improve resurgence detection
Kris V. Parag, Uri Obolski
PLoS Computational Biology (2023) Vol. 19, Iss. 7, pp. e1011332-e1011332
Open Access | Times Cited: 4
Combining models to generate a consensus effective reproduction number R for the COVID-19 epidemic status in England
Harrison Manley, Josie Park, Luke D. Bevan, et al.
Epidemiology and Infection (2024) Vol. 152
Open Access | Times Cited: 1
The importance of spatial heterogeneity in disease transmission
Emily Harvey, Dion O’Neale
Nature Physics (2024) Vol. 20, Iss. 7, pp. 1053-1054
Closed Access | Times Cited: 1
Emergence of the reproduction matrix in epidemic forecasting
Hossein Gorji, Noé Stauffer, Ivan Lunati
Journal of The Royal Society Interface (2024) Vol. 21, Iss. 216
Open Access | Times Cited: 1
Correlation of viral loads in disease transmission could affect early estimates of the reproduction number
Thomas E. Harris, Nicholas Geard, Cameron Zachreson
Journal of The Royal Society Interface (2023) Vol. 20, Iss. 202
Open Access | Times Cited: 2
Epidemiological impact of revoking mask-wearing recommendation on COVID-19 transmission in Tokyo, Japan
Mayu Nagata, Yuta Okada, Hiroshi Nishiura
Infectious Disease Modelling (2024) Vol. 9, Iss. 4, pp. 1289-1300
Open Access
When is the R = 1 epidemic threshold meaningful?
Kris V. Parag, Anne Cori, Uri Obolski
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Enhancing global preparedness during an ongoing pandemic from partial and noisy data
Pascal Klamser, Valeria d’Andrea, Francesco Di Lauro, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Reproduction Factor Based Latent Epidemic Model Inference: A Data-Driven Approach Using COVID-19 Datasets
Sujin Ahn, Minhae Kwon
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 3, pp. 1259-1270
Closed Access | Times Cited: 2
Universality on the Spatial and Temporal Spread of Covid-19
Felipe Segundo Abril Bermúdez, Carlos Quimbay Herrera
(2023)
Closed Access
Advancements in Defining and Estimating the Reproduction Number in Infectious Disease Epidemiology
Kangguo Li, Jiayi Wang, Jiayuan Xie, et al.
Deleted Journal (2023) Vol. 5, Iss. 37, pp. 829-834
Open Access
Risk averse reproduction numbers improve resurgence detection
Kris V. Parag, Uri Obolski
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
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