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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:

An evaluation of likelihood-based bandwidth selectors for spatial and spatiotemporal kernel estimates
Tilman M. Davies, Andrew Lawson
Journal of Statistical Computation and Simulation (2019) Vol. 89, Iss. 7, pp. 1131-1152
Open Access | Times Cited: 19

Showing 19 citing articles:

The spatio-temporal distribution of COVID-19 infection in England between January and June 2020
Richard Elson, Tilman M. Davies, Iain Lake, et al.
Epidemiology and Infection (2021) Vol. 149
Open Access | Times Cited: 28
Temporal Network Kernel Density Estimation
Jérémy Gelb, Philippe Apparicio
Geographical Analysis (2023) Vol. 56, Iss. 1, pp. 62-78
Open Access | Times Cited: 10
Exploration‐Based Statistical Learning for Selecting Kernel Density Estimates of Spatial Point Patterns
Michael Govorov, Giedrė Beconytė, Gennady Gienko
Transactions in GIS (2025) Vol. 29, Iss. 2
Open Access
Epidemiology of Hepatitis E in England and Wales: A 10-Year Retrospective Surveillance Study, 2008–2017
Clarissa Oeser, Aisling Vaughan, Bengü Said, et al.
The Journal of Infectious Diseases (2019) Vol. 220, Iss. 5, pp. 802-810
Closed Access | Times Cited: 24
A Multivariate Statistics-Based Approach for Detecting Diesel Engine Faults with Weak Signatures
Jinxin Wang, Chi Zhang, Xiuzhen Ma, et al.
Energies (2020) Vol. 13, Iss. 4, pp. 873-873
Open Access | Times Cited: 12
Estimation of relative risk for events on a linear network
Greg McSwiggan, Adrian Baddeley, Gopalan Nair
Statistics and Computing (2019) Vol. 30, Iss. 2, pp. 469-484
Closed Access | Times Cited: 12
Geographically weighted Poisson regression models with different kernels: Application to road traffic accident data
Ghanim Al-Hasani, Md Asaduzzaman, Abdel‐Hamid Soliman
Communications in Statistics Case Studies Data Analysis and Applications (2021) Vol. 7, Iss. 2, pp. 166-181
Open Access | Times Cited: 10
Gis And Remote Sensing: A Review Of Applications To The Study Of The Covid-19 Pandemic
Quoc Lap Kieu, Thành Tiên Nguyễn, Anh-huy Hoang
GEOGRAPHY ENVIRONMENT SUSTAINABILITY (2021) Vol. 14, Iss. 4, pp. 117-124
Open Access | Times Cited: 8
Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States
Felipe G. Sanchez, Jason A. Galvis, Nicolás C. Cárdenas, et al.
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 3
ACQC: Apollonius Circle‐based Quantum Clustering
Nasim Abdolmaleki, Leyli Mohammad Khanli, Mahdi Hashemzadeh, et al.
Journal of Computational Science (2022) Vol. 64, pp. 101877-101877
Closed Access | Times Cited: 5
Comparison of kernel density function in detecting effects of daily emission of Sulphur (IV) oxide from an industrial plant
Siloko Israel Uzuazor, Ejakpovi Simeon Uyovwieyovwe, Ukhurebor Kingsley Eghonghon, et al.
Ethiopian Journal of Science and Technology (2022) Vol. 15, Iss. 1, pp. 53-66
Open Access | Times Cited: 4
Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy
Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, et al.
Geospatial health (2022) Vol. 17, Iss. 2
Open Access | Times Cited: 4
Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adaptive Kernel Density Estimation
Jinxin Wang, Shenglei Zhao, Enyuan Wang, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8096-8096
Open Access | Times Cited: 2
Application of kernel smoothing to estimate the spatio-temporal variation in risk of STEC O157 in England
Richard Elson, Tilman M. Davies, Claire Jenkins, et al.
Spatial and Spatio-temporal Epidemiology (2019) Vol. 32, pp. 100305-100305
Open Access | Times Cited: 5
Spatial distribution of criminal events in Lithuania in 2015–2019
Giedrė Beconytė, Michael Govorov, Andrius Balčiūnas, et al.
Journal of Maps (2021) Vol. 17, Iss. 1, pp. 154-162
Open Access | Times Cited: 5
Diffusion Smoothing for Spatial Point Patterns
Adrian Baddeley, Tilman M. Davies, Suman Rakshit, et al.
Statistical Science (2022) Vol. 37, Iss. 1
Open Access | Times Cited: 3
Trivariate Kernel Density Estimation of Spatiotemporal Crime Events with Case Study for Lithuania
Michael Govorov, Giedrė Beconytė, Gennady Gienko
Sustainability (2023) Vol. 15, Iss. 11, pp. 8524-8524
Open Access | Times Cited: 1
spagmix: Artificial Spatial and Spatio-Temporal Densities on Bounded Windows
Anna K. Redmond, Tilman M. Davies
(2018)
Closed Access | Times Cited: 1
The spatio-temporal distribution of COVID-19 infection in England between January and June 2020
Richard Elson, Tilman M. Davies, Iain Lake, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
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