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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:

Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe
Andrea Bucci, Luigi Ippoliti, Pasquale Valentini, et al.
Spatial Statistics (2021) Vol. 49, pp. 100543-100543
Open Access | Times Cited: 10

Showing 10 citing articles:

A mechanistic spatio‐temporal modeling of COVID‐19 data
Álvaro Briz‐Redón, Adina Iftimi, Jorge Mateu, et al.
Biometrical Journal (2022) Vol. 65, Iss. 1
Closed Access | Times Cited: 9
COVID-19 Trends in a Northeastern Brazilian State from the Start of the Pandemic: Exploring an Alternative Time Series Method
Matheus Paiva Emídio Cavalcanti, Jorge de Oliveira Echeimberg, Tassiane Cristina Morais, et al.
COVID (2024) Vol. 4, Iss. 12, pp. 1960-1970
Open Access | Times Cited: 1
Application of Data Science for Cluster Analysis of COVID-19 Mortality According to Sociodemographic Factors at Municipal Level in Mexico
Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Kirvis Torres-Poveda, et al.
Mathematics (2022) Vol. 10, Iss. 13, pp. 2167-2167
Open Access | Times Cited: 8
Analysing spatiotemporal patterns of Covid-19 confirmed deaths at the NUTS-2 regional level
Andrea Bucci, Luigi Ippoliti, Pasquale Valentini
Regional Statistics (2023) Vol. 13, Iss. 2, pp. 214-239
Open Access | Times Cited: 4
Waves in time, but not in space – an analysis of pandemic severity of COVID-19 in Germany
Andreas Kuebart, Martin Stabler
Spatial and Spatio-temporal Epidemiology (2023) Vol. 47, pp. 100605-100605
Open Access | Times Cited: 4
Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: A functional data analysis from August 2020 to March 2022
Manuel Ribeiro, Leonardo Azevedo, André Peralta‐Santos, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0297772-e0297772
Open Access | Times Cited: 1
Translation-invariant functional clustering on COVID-19 deaths adjusted on population risk factors
Amay S.M. Cheam, Marc Frédette, Matthieu Marbac, et al.
Journal of the Royal Statistical Society Series C (Applied Statistics) (2023) Vol. 72, Iss. 2, pp. 387-413
Open Access | Times Cited: 1
Waves in time, but not in space – An analysis of pandemic severity of COVID-19 in Germany based on spatio-temporal clustering
Andreas Kuebart, Martin Stabler
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Understanding spatiotemporal patterns of COVID-19 incidence in Portugal: a functional data analysis from August 2020 to March 2022
Manuel Ribeiro, Leonardo Azevedo, André Peralta‐Santos, et al.
Research Square (Research Square) (2023)
Open Access
Modeling Crowdedness of Emergency Departments Leveraging Crowdsensing Mobility Data
Tieqi Shou, Zhiyuan Wang, Shang Shi, et al.
(2022), pp. 441-449
Closed Access
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