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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:

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
Katharine Sherratt, Hugo Gruson, Rok Grah, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 55

Showing 26-50 of 55 citing articles:

A scenario modelling analysis to anticipate the impact of COVID-19 vaccination in adolescents and children on disease outcomes in the Netherlands, summer 2021
Kylie E. C. Ainslie, Jantien A. Backer, Pieter T. de Boer, et al.
Eurosurveillance (2022) Vol. 27, Iss. 44
Open Access | Times Cited: 9
Real-time forecasting of COVID-19-related hospital strain in France using a non-Markovian mechanistic model
Alexander Massey, Corentin Boennec, Claudia Ximena Restrepo‐Ortiz, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 5, pp. e1012124-e1012124
Open 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
Neural parameter calibration and uncertainty quantification for epidemic forecasting
Thomas Gaskin, Tim Conrad, Grigorios A. Pavliotis, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0306704-e0306704
Open Access | Times Cited: 1
Integrating information from historical data into mechanistic models for influenza forecasting
Alessio Andronico, Juliette Paireau, Simon Cauchemez
PLoS Computational Biology (2024) Vol. 20, Iss. 10, pp. e1012523-e1012523
Open Access | Times Cited: 1
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
Learning from the past: A short term forecast method for the COVID-19 incidence curve
Jean‐David Morel, Jean‐Michel Morel, Luis Álvarez
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1010790-e1010790
Open Access | Times Cited: 4
Human judgement forecasting of COVID-19 in the UK
Nikos I Bosse, Sam Abbott, Johannes Bracher, et al.
Wellcome Open Research (2024) Vol. 8, pp. 416-416
Open Access | Times Cited: 1
Human judgement forecasting of COVID-19 in the UK
Nikos I Bosse, Sam Abbott, Johannes Bracher, et al.
Wellcome Open Research (2023) Vol. 8, pp. 416-416
Open Access | Times Cited: 3
Disentangling the role of virus infectiousness and awareness-based human behavior during the early phase of the COVID-19 pandemic in the European Union
Marcos A. Capistrán, Juan Antonio Infante del Río, Ángel Ramos, et al.
Applied Mathematical Modelling (2023) Vol. 122, pp. 187-199
Open Access | Times Cited: 2
Modelización estadística para la estimación y predicción de la incidencia de Covid-19 en España
David Moriña, Alessandra Ybargüen
REVISTA ESPAÑOLA DE COMUNICACIÓN EN SALUD (2024), pp. 54-59
Open Access
Combining models to generate consensus medium-term projections of hospital admissions, occupancy and deaths relating to COVID-19 in England
Harrison Manley, Thomas Bayley, Gabriel Danelian, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 5
Open Access
Empirical prediction intervals applied to short term mortality forecasts and excess deaths
Ricarda Duerst, Jonas Schöley
Population Health Metrics (2024) Vol. 22, Iss. 1
Open Access
Evaluating infectious disease forecasts with allocation scoring rules
Aaron Gerding, Nicholas G Reich, Benjamin Rogers, et al.
Journal of the Royal Statistical Society Series A (Statistics in Society) (2024)
Open Access
Forecasting COVID-19, Influenza and RSV hospitalisations over winter 2023/24 in England
Jonathon Mellor, Maria Tang, Owen Jones, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A modular approach to forecasting COVID-19 hospital bed occupancy
Ruarai Tobin, James R. Walker, Robert Moss, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
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
Comparative Evaluation of Behavioral-Epidemic Models Using COVID-19 Data
Nicolò Gozzi, Nicola Perra, Alessandro Vespignani
(2024)
Open Access
Forecasting SARS-CoV-2 epidemic dynamic in Poland with the pDyn agent-based model
Karol Niedzielewski, Rafał Bartczuk, Natalia Bielczyk, et al.
Epidemics (2024) Vol. 49, pp. 100801-100801
Open Access
Global Infectious Disease Early Warning Models: An Updated Review and Lessons from the COVID-19 Pandemic
Weihua Hu, Huimin Sun, Yongyue Wei, et al.
Infectious Disease Modelling (2024) Vol. 10, Iss. 2, pp. 410-422
Open Access
Characterising information gains and losses when collecting multiple epidemic model outputs
Katharine Sherratt, Ajitesh Srivastava, Kylie E. C. Ainslie, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Using real-time ascertainment rate estimate from infection and hospitalization dataset for modeling the spread of infectious disease: COVID-19 case study in the Czech Republic
Lenka Přibylová, Veronika Eclerová, Ondřej Májek, et al.
PLoS ONE (2023) Vol. 18, Iss. 7, pp. e0287959-e0287959
Open Access | Times Cited: 1
Learning to Forecast: The Probabilistic Time Series Forecasting Challenge
Johannes Bracher, Nils Köster, Fabian Krüger, et al.
The American Statistician (2023) Vol. 78, Iss. 1, pp. 115-127
Open Access
A Deep Dive into the Delta Wave: Forecasting SARS-CoV-2 Epidemic Dynamic in Poland with the pDyn Agent-Based Model
Karol Niedzielewski, Rafał Bartczuk, Natalia Bielczyk, et al.
Research Square (Research Square) (2023)
Open Access
Fine-grained parallel social modelling for analyzing COVID-19 propagation
A. Martinez, Álejandro Alvarez Isabel, Jesús Carretero, et al.
(2023), pp. 119-127
Closed Access

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