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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:

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

Showing 20 citing articles:

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
Challenges of COVID-19 Case Forecasting in the US, 2020–2021
Velma K. Lopez, Estee Y. Cramer, Robert R. Pagano, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 5, pp. e1011200-e1011200
Open Access | Times Cited: 11
Scoring epidemiological forecasts on transformed scales
Nikos I Bosse, Sam Abbott, Anne Cori, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 8, pp. e1011393-e1011393
Open Access | Times Cited: 15
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
Estimating the COVID-19 prevalence from wastewater
Jan Möhring, Neele Leithäuser, Jarosław Wlazło, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Trend estimation and short-term forecasting of COVID-19 cases and deaths worldwide
Ekaterina Krymova, Benjamı́n Béjar, Dorina Thanou, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 32
Open Access | Times Cited: 16
Automated Processing of Pipelines Managing Now- and Forecasting of Infectious Diseases
Shahbaz Memon, Johann F. Jadebeck, Michael Osthege, et al.
(2024), pp. 1157-1162
Open Access | Times Cited: 2
Scoring epidemiological forecasts on transformed scales
Nikos I Bosse, Sam Abbott, Anne Cori, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Evaluation of predictive capability of Bayesian spatio-temporal models for Covid-19 spread
Andrew Lawson
BMC Medical Research Methodology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 5
Combining models to generate a consensus effective reproduction number R for the COVID-19 epidemic status in England
Harrison Manley, Josie Park, Luke D. Bevan, et al.
Epidemiology and Infection (2024) Vol. 152
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
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
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
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
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
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
Conjectures concerning the explanation of recurrent patterns in COVID-19 spread dynamics based on time-variant networks.
Peter Krall
Research Square (Research Square) (2023)
Open Access
Estimating the Covid-19 Prevalence from Wastewater
Jan Möhring, Neele Leithäuser, Jaroslaw Wlazlo, et al.
Research Square (Research Square) (2023)
Open Access
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