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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:

An expert judgment model to predict early stages of the COVID-19 pandemic in the United States
Thomas McAndrew, Nicholas G Reich
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010485-e1010485
Open Access | Times Cited: 21

Showing 21 citing articles:

Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling
Ben Swallow, Paul Birrell, Joshua Blake, et al.
Epidemics (2022) Vol. 38, pp. 100547-100547
Open Access | Times Cited: 33
Comparing human and model-based forecasts of COVID-19 in Germany and Poland
Nikos I Bosse, Sam Abbott, Johannes Bracher, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 9, pp. e1010405-e1010405
Open Access | Times Cited: 26
Early human judgment forecasts of human monkeypox, May 2022
Thomas McAndrew, Maimuna S. Majumder, Andrew A. Lover, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 8, pp. e569-e571
Open Access | Times Cited: 22
Aggregating human judgment probabilistic predictions of the safety, efficacy, and timing of a COVID-19 vaccine
Thomas McAndrew, Juan Cambeiro, Tamay Besiroglu
Vaccine (2022) Vol. 40, Iss. 15, pp. 2331-2341
Open Access | Times Cited: 10
When expert predictions fail
Igor Grossmann, Michael E. W. Varnum, Cendri A. Hutcherson, et al.
Trends in Cognitive Sciences (2023) Vol. 28, Iss. 2, pp. 113-123
Open Access | Times Cited: 5
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
Chimeric forecasting: combining probabilistic predictions from computational models and human judgment
Thomas McAndrew, Allison Codi, Juan Cambeiro, et al.
BMC Infectious Diseases (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 4
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
Crowdsourced Perceptions of Human Behavior to Improve Computational Forecasts of US National Incident Cases of COVID-19: Survey Study
David Braun, Daniel Ingram, David Ingram, et al.
JMIR Public Health and Surveillance (2022) Vol. 8, Iss. 12, pp. e39336-e39336
Open Access | Times Cited: 3
Chimeric Forecasting: An experiment to leverage human judgment to improve forecasts of infectious disease using simulated surveillance data
Thomas McAndrew, Graham Casey Gibson, David Braun, et al.
Epidemics (2024) Vol. 47, pp. 100756-100756
Open Access
Forecasting the spatial spread of an Ebola epidemic in real-time: comparing predictions of mathematical models and experts
James D. Munday, Alicia Roselló, W. John Edmunds, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints
Robert Kubinec, Luiz Max Carvalho, Joan Barceló, et al.
Journal of the Royal Statistical Society Series A (Statistics in Society) (2024) Vol. 188, Iss. 1, pp. 287-312
Closed Access
Reviewer #2 (Public Review): Forecasting the spatial spread of an Ebola epidemic in real-time: comparing predictions of mathematical models and experts

(2024)
Open Access
eLife assessment: Forecasting the spatial spread of an Ebola epidemic in real-time: comparing predictions of mathematical models and experts
Ben S. Cooper
(2024)
Open Access
Forecasting the spatial spread of an Ebola epidemic in real-time: comparing predictions of mathematical models and experts
James D. Munday, Alicia Roselló, W. John Edmunds, et al.
(2024)
Open Access
Forecasting the spatial spread of an Ebola epidemic in real-time: comparing predictions of mathematical models and experts
James D. Munday, Alicia Roselló, W. John Edmunds, et al.
(2024)
Open Access
Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference
Alberto Aleta, Juan Luis Blas-Laína, Gabriel Tirado Anglés, et al.
BMC Medical Research Methodology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Investigating laypeople’s short- and long-term forecasts of COVID-19 infection cycles
Moon Su Koo, Yun Shin Lee, Matthias Seifert
International Journal of Forecasting (2023)
Closed Access | Times Cited: 1
Aggregating Human Judgment Probabilistic Predictions of Coronavirus Disease 2019 Transmission, Burden, and Preventive Measures
Allison Codi, Damon Luk, David Braun, et al.
Open Forum Infectious Diseases (2022) Vol. 9, Iss. 8
Open Access | Times Cited: 1
When expert predictions fail
Igor Grossmann, Michael E. W. Varnum, Cendri A. Hutcherson, et al.
(2023)
Open Access
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