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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:

How well did experts and laypeople forecast the size of the COVID-19 pandemic?
Gabriel Recchia, Alexandra L. J. Freeman, David Spiegelhalter
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0250935-e0250935
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Megastudy shows that reminders boost vaccination but adding free rides does not
Katherine L. Milkman, Sean F. Ellis, Dena M. Gromet, et al.
Nature (2024) Vol. 631, Iss. 8019, pp. 179-188
Open Access | Times Cited: 14
The increased role of advanced technology and automation in audit: A delphi study
Danielle R. Lombardi, Meehyun Kim, Janice C. Sipior, et al.
International Journal of Accounting Information Systems (2025) Vol. 56, pp. 100733-100733
Open Access | Times Cited: 1
COVID-19 death toll predictions show that triggering counterfactual thinking deteriorates judgmental performance
Matthias Seifert, Jeeva Somasundaram
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
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
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
Machine learning for data-centric epidemic forecasting
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 3
Teaching Two-Eyed Seeing in Education for Sustainable Development: Inspirations from the Science|Environment|Health Pedagogy in Pandemic Times
Albert Zeyer
Sustainability (2022) Vol. 14, Iss. 10, pp. 6343-6343
Open Access | Times Cited: 15
Overall and COVID-19-specific citation impact of highly visible COVID-19 media experts: bibliometric analysis
John P. A. Ioannidis, Alangoya Tezel, Reshma Jagsi
BMJ Open (2021) Vol. 11, Iss. 10, pp. e052856-e052856
Open Access | Times Cited: 17
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
Mapping acceptance: micro scenarios as a dual-perspective approach for assessing public opinion and individual differences in technology perception
Philipp Brauner
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 1
What happened to the predicted COVID-19-induced suicide epidemic, and why?
Nick Glozier, Richard W. Morris, Stefanie Schurer
Australian & New Zealand Journal of Psychiatry (2022) Vol. 57, Iss. 1, pp. 11-16
Open Access | Times Cited: 8
Are experts overconfident?: An interdisciplinary review
Carmen Sanchez, David Dunning
Research in Organizational Behavior (2023) Vol. 43, pp. 100195-100195
Closed 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
Complex correlates of Colombia's COVID-19 surge
James M. Shultz, Ryan C. Berg, Oscar Alberto Bernal Acevedo, et al.
The Lancet Regional Health - Americas (2021) Vol. 3, pp. 100072-100072
Open Access | Times Cited: 10
When Do We Need Massive Computations to Perform Detailed COVID‐19 Simulations?
Christopher B. Lutz, Philippe J. Giabbanelli
Advanced Theory and Simulations (2021) Vol. 5, Iss. 2
Open Access | Times Cited: 9
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
Comparing human and model-based forecasts of COVID-19 in Germany and Poland
Nikos I Bosse, Sam Abbott, Johannes Bracher, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 6
Human judgment forecasts of human monkeypox transmission and burden in non-endemic countries
Thomas McAndrew, Maimuna S. Majumder, Andrew A. Lover, et al.
(2022)
Open Access | Times Cited: 4
Estimating and forecasting the burden and spread of Colombia’s SARS-CoV2 first wave
Jaime Cascante-Vega, Juan Manuel Cordovez, Mauricio Santos‐Vega
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 4
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
Conventional and frugal methods of estimating COVID-19-related excess deaths and undercount factors
Abhishek M. Dedhe, Aakash Chowkase, N. Gogate, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Commentary: risk, uncertainty and innovation: what does this mean for the Dutch energy transition?
Joakim Zander
Journal of Risk Research (2024), pp. 1-5
Closed Access
Delphi method applicability in drug foresight
Tomi Lintonen, Karoliina Karjalainen, Sanna Rönkä, et al.
Substance Abuse Treatment Prevention and Policy (2024) Vol. 19, Iss. 1
Open Access
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