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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:

Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions
Pavan Kumar, Biswajit Lahiri, Rafael Alvarado
Spatial Statistics (2021) Vol. 49, pp. 100538-100538
Open Access | Times Cited: 15

Showing 15 citing articles:

Change point detection in brucellosis time series from 2010 to 2023 in Xinjiang China using the BEAST algorithm
Liping Yang, Chunxia Wang, Pan Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Spatiotemporal Analysis of Heat-Related Emergency Department Visits and Hospitalizations in Florida (2005–2021): A Bayesian Change Point Detection Approach
Ehsan Foroutan, Saeid Niazmardi, Tao Hu
Sustainable Cities and Society (2025), pp. 106288-106288
Closed Access
Evaluating food security and nutritional pathways of rural farm families: Empirical evidence from northeast India
Pavan Kumar, Silkame N Sangma, Ch Basanti Devi, et al.
Evaluation and Program Planning (2024) Vol. 107, pp. 102478-102478
Closed Access | Times Cited: 1
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
Multiple change point analysis of hepatitis B reports in Xinjiang, China from 2006 to 2021
Liping Yang, Na Xie, Yanru Yao, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 2
Spatio-temporal analysis of the COVID-19 pandemic in Türkiye: results of the controlled normalization
Cenk İÇÖZ, İsmail Yenılmez
Spatial Information Research (2022) Vol. 31, Iss. 1, pp. 39-50
Open Access | Times Cited: 4
Development of maximum relevant prior feature ensemble (MRPFE) index to characterize future drought using global climate models
Atta Gul, Sadia Qamar, Mahrukh Yousaf, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Bayesian multiple change-points detection in autocorrelated binary process with application to COVID-19 infection pattern
Masoud Majidizadeh, Ali Reza Taheriyoun
Journal of Statistical Computation and Simulation (2024), pp. 1-27
Closed Access
Social and spatial disparities in individuals’ mobility response time to COVID-19: A big data analysis incorporating changepoint detection and accelerated failure time models
Wenjia Zhang, Yulin Wu, Guobang Deng
Transportation Research Part A Policy and Practice (2024) Vol. 184, pp. 104089-104089
Closed Access
Bayesian analysis of the COVID-19 pandemic using a Poisson process with change-points
Masoud Majidizadeh
Monte Carlo Methods and Applications (2024) Vol. 30, Iss. 4, pp. 449-465
Closed Access
Spreading of Infections on Network Models: Percolation Clusters and Random Trees
H. Eduardo Roman, Fabrizio Croccolo
Mathematics (2021) Vol. 9, Iss. 23, pp. 3054-3054
Open Access | Times Cited: 4
eHealth Engagement on Facebook during COVID-19: Simplistic Computational Data Analysis
Caroll Hermann, Melanie A. Govender
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 8, pp. 4615-4615
Open Access | Times Cited: 2
Information Approach for Change Point Analysis of EGGAPE Distribution and Application to COVID-19 Data
Mutua Kilai, Gichuhi A. Waititu, Wanjoya A. Kibira, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 2
eHealth-Engagement on Facebook during COVID-19: Simplistic Computational Data Analysis
Caroll Hermann, Melanie A. Govender
(2022)
Open Access | Times Cited: 1
FORECASTING OF GINGER AREA AND PRODUCTION OF INDIA USING ARIMA AND ARTIFICIAL NEURAL NETWORK APPROACH
Pavan Kumar, Md Tahmidur Rahman Ullas
International Journal of Progressive Research in Engineering Management and Science (2023)
Open Access
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