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:

Generalizing the spatial relative risk function
W. T. P. Sarojinie Fernando, Martin L. Hazelton
Spatial and Spatio-temporal Epidemiology (2014) Vol. 8, pp. 1-10
Closed Access | Times Cited: 20

Showing 20 citing articles:

Tutorial on kernel estimation of continuous spatial and spatiotemporal relative risk
Tilman M. Davies, Jonathan C. Marshall, Martin L. Hazelton
Statistics in Medicine (2017) Vol. 37, Iss. 7, pp. 1191-1221
Closed Access | Times Cited: 100

Spatial and temporal epidemiological analysis in the Big Data era
Dirk U. Pfeiffer, Kim Stevens
Preventive Veterinary Medicine (2015) Vol. 122, Iss. 1-2, pp. 213-220
Open Access | Times Cited: 66

Fast computation of spatially adaptive kernel estimates
Tilman M. Davies, Adrian Baddeley
Statistics and Computing (2017) Vol. 28, Iss. 4, pp. 937-956
Closed Access | Times Cited: 41

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

Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function
Tilman M. Davies, Khair Jones, Martin L. Hazelton
Computational Statistics & Data Analysis (2016) Vol. 101, pp. 12-28
Closed Access | Times Cited: 36

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

A nonparametric penalized likelihood approach to density estimation of space–time point patterns
Blerta Begu, Simone Panzeri, Eleonora Arnone, et al.
Spatial Statistics (2024) Vol. 61, pp. 100824-100824
Open Access | Times Cited: 3

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

Spatial Relative Risk Patterns of Autism Spectrum Disorders in Utah
Amanda V. Bakian, Deborah A. Bilder, Hilary Coon, et al.
Journal of Autism and Developmental Disorders (2014) Vol. 45, Iss. 4, pp. 988-1000
Open Access | Times Cited: 18

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

A first‐order, ratio‐based nonparametric separability test for spatiotemporal point processes
Isabel Fuentes‐Santos, Wenceslao González‐Manteiga, Jorge Mateu
Environmetrics (2017) Vol. 29, Iss. 1
Closed Access | Times Cited: 9

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

Spatial Surveillance of Childhood Lead Exposure in a Targeted Screening State: An Application of Generalized Additive Models in Denver, Colorado
Kevin C. de Berg, Stephanie Kuhn, Mike Van Dyke
Journal of Public Health Management and Practice (2017) Vol. 23, pp. S79-S92
Closed Access | Times Cited: 5

Evolution of Spatial Risk of Malaria Infection After a Pragmatic Chemoprevention Program in Response to Severe Flooding in Rural Western Uganda
Erin Xu, Varun Goel, Emmanuel Baguma, et al.
The Journal of Infectious Diseases (2023)
Open Access | Times Cited: 2

Analysis of the appearance and disappearance of point objects over time
Yukio Sadahiro
International Journal of Geographical Information Science (2018) Vol. 33, Iss. 2, pp. 215-239
Closed Access | Times Cited: 5

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

Tutorial on kernel estimation of continuous spatial and spatiotemporal relative risk with accompanying instruction in R
Tilman M. Davies, Jonathan C. Marshall, Martin L. Hazelton
arXiv (Cornell University) (2017)
Closed 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

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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