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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:

Limits of epidemic prediction using SIR models
Omar Melikechi, Alexander L. Young, Tao Tang, et al.
Journal of Mathematical Biology (2022) Vol. 85, Iss. 4
Open Access | Times Cited: 16

Showing 16 citing articles:

An epidemiological model of SIR in a nanotechnological innovation environment
David Svoboda, Ondřej Havelka, Julie Holendová, et al.
Heliyon (2025) Vol. 11, Iss. 3, pp. e42309-e42309
Open Access
The effect of pathogens from environmental breeding and accumulative release by the infected individuals on spread dynamics of a SIRP epidemic model
Ning Wang, Long Zhang, Zhidong Teng
Journal of Mathematical Biology (2025) Vol. 90, Iss. 3
Closed Access
Theoretical validation of growth curves for quantifying phage-bacteria interactions
Michael Blazanin, Emma Vasen, Cèlia Vilaró Jolis, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
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
Long-term Regional Influenza-like-illness Forecasting Using Exogenous Data
Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3781-3792
Open Access | Times Cited: 1
The disutility of compartmental model forecasts during the COVID-19 pandemic
Tarini Sudhakar, Ashna Bhansali, John Walkington, et al.
Frontiers in Epidemiology (2024) Vol. 4
Open Access | Times Cited: 1
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model
David Buch, James E. Johndrow, David B. Dunson
Biometrics (2023) Vol. 79, Iss. 4, pp. 2987-2997
Closed Access | Times Cited: 3
Accurately summarizing an outbreak using epidemiological models takes time
Brendan Case, Jean-Gabriel Young, Laurent Hébert‐Dufresne
Royal Society Open Science (2023) Vol. 10, Iss. 9
Open Access | Times Cited: 3
Retrospective analysis and forecasting of the spread of viruses in real time: the case of COVID-19 in St. Petersburg and Moscow in 2020–2021
Victor Zakharov, Yu. Е. Balykina
Problems of Virology (2024) Vol. 69, Iss. 6, pp. 500-508
Open Access
Quantum-like Approaches Unveil the Intrinsic Limits of Predictability in Compartmental Models
José Alejandro Rojas-Venegas, Pablo Gallarta-Sáenz, Rafael Hurtado-Heredia, et al.
Entropy (2024) Vol. 26, Iss. 10, pp. 888-888
Open Access
Investigating and forecasting infectious disease dynamics using epidemiological and molecular surveillance data
Gerardo Chowell, Pavel Skums
Physics of Life Reviews (2024) Vol. 51, pp. 294-327
Closed Access
Long-term Regional Influenza-like-illness Forecasting Using Exogenous Data
Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, et al.
(2023)
Open Access | Times Cited: 1
Accurately summarizing an outbreak using epidemiological models takes time
Brendan Case, Jean-Gabriel Young, Laurent Hébert‐Dufresne
arXiv (Cornell University) (2023)
Open Access
The Disutility of SEIR Model Forecasts During the COVID-19 Pandemic
Tarini Sudhakar, Ashna Bhansali, John Walkington, et al.
SSRN Electronic Journal (2023)
Closed Access
Changes in Patterns of Infectivity and Mortality with SARS-CoV-2 Omicron Variant in Bulgaria
L Tomov, Hristiana Batselova, Tsvetelina Velikova
(2023), pp. 193-203
Closed Access
Long-term Regional Influenza-like-illness Forecasting Using Exogenous Data
Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, et al.
(2023)
Open Access
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