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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:

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

Showing 1-25 of 26 citing articles:

Generative Bayesian modeling to nowcast the effective reproduction number from line list data with missing symptom onset dates
Adrian Lison, Sam Abbott, Jana S. Huisman, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 4, pp. e1012021-e1012021
Open Access | Times Cited: 8
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
Forecasting the spread of COVID-19 based on policy, vaccination, and Omicron data
Kyulhee Han, Bogyeom Lee, Doeun Lee, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Johannes Bracher, Daniel Wolffram, Jannik Deuschel, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 20
Measuring the impact of COVID-19 vaccination and immunity waning: A modelling study for Portugal
Constantino Caetano, M. Luísa Morgado, Paula Patrício, et al.
Vaccine (2022) Vol. 40, Iss. 49, pp. 7115-7121
Open Access | Times Cited: 13
The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic
Richard Grieve, Youqi Yang, Sam Abbott, et al.
PLOS Global Public Health (2023) Vol. 3, Iss. 11, pp. e0002601-e0002601
Open Access | Times Cited: 6
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
Recent approaches in computational modelling for controlling pathogen threats
John A. Lees, Timothy Russell, Liam P. Shaw, et al.
Life Science Alliance (2024) Vol. 7, Iss. 9, pp. e202402666-e202402666
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
Generative Bayesian modeling to nowcast the effective reproduction number from line list data with missing symptom onset dates
Adrian Lison, Sam Abbott, Jana S. Huisman, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
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
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
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
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
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
SARS-CoV-2 epidemiology, kinetics, and evolution: a narrative review
Samuel Alizon, Mircea T. Sofonea
(2024)
Open 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
Towards a “Wisdom of Scientific Crowds”
Anthony F. Jorm
(2024), pp. 175-187
Closed Access
Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events
Alexander Gruen, Karl Mattingly, Ellen Morwitch, et al.
EBioMedicine (2023) Vol. 96, pp. 104783-104783
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
Incorporating crowdsourced perceptions of human behavior into computational forecasts of US national incident cases of COVID-19
David Braun, Daniel Ingram, David Ingram, et al.
(2022)
Open Access | Times Cited: 2
Evaluating an epidemiologically motivated surrogate model of a multi-model ensemble
Sam Abbott, Katharine Sherratt, Nikos I Bosse, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
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