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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:

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

Showing 1-25 of 41 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
Analysing point patterns on networks — A review
Adrian Baddeley, Gopalan Nair, Suman Rakshit, et al.
Spatial Statistics (2020) Vol. 42, pp. 100435-100435
Open Access | Times Cited: 73
On the Cosmic Evolution of AGN Obscuration and the X-Ray Luminosity Function: XMM-Newton and Chandra Spectral Analysis of the 31.3 deg2 Stripe 82X
Alessandro Peca, N. Cappelluti, C. M. Urry, et al.
The Astrophysical Journal (2023) Vol. 943, Iss. 2, pp. 162-162
Open Access | Times Cited: 29
Resample-smoothing of Voronoi intensity estimators
Mehdi Moradi, Ottmar Cronie, Ege Rubak, et al.
Statistics and Computing (2019) Vol. 29, Iss. 5, pp. 995-1010
Open Access | Times Cited: 40
Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution
Suman Rakshit, Tilman M. Davies, Mehdi Moradi, et al.
International Statistical Review (2019) Vol. 87, Iss. 3, pp. 531-556
Closed Access | Times Cited: 38
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
Bandwidth selection for kernel intensity estimators for spatial point processes
Bethany J. Macdonald, Tilman M. Davies, Martin L. Hazelton
Scandinavian Journal of Statistics (2025)
Open Access
Analyzing Spatial Point Patterns in Digital Pathology: Immune Cells in High-Grade Serous Ovarian Carcinomas
Jonatan A. González, Julia Wrobel, Simon Vandekar, et al.
The American Statistician (2025), pp. 1-26
Closed Access
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
Machine learning for predictive mapping of exceedance probabilities for potentially toxic elements in Czech farmland
Jan Skála, Daniel Žížala, Robert Minařík
Journal of Environmental Management (2025) Vol. 380, pp. 125035-125035
Closed Access
Flexible spatio-temporal Hawkes process models for earthquake occurrences
Junhyeon Kwon, Yingcai Zheng, Mikyoung Jun
Spatial Statistics (2023) Vol. 54, pp. 100728-100728
Open Access | Times Cited: 8
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
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes
Fekadu L. Bayisa, Markus Ådahl, Patrik Rydén, et al.
Spatial Statistics (2020) Vol. 39, pp. 100471-100471
Open Access | Times Cited: 15
On the utility of asymptotic bandwidth selectors for spatially adaptive kernel density estimation
Tilman M. Davies, Claire Flynn, Martin L. Hazelton
Statistics & Probability Letters (2018) Vol. 138, pp. 75-81
Closed Access | Times Cited: 13
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
Non-Parametric Analysis of Spatial and Spatio-Temporal Point Patterns
Jonatan A. González, Paula Moraga
The R Journal (2023) Vol. 15, Iss. 1, pp. 65-82
Open Access | Times Cited: 4
Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions
M. N. M. van Lieshout
Annals of the Institute of Statistical Mathematics (2023) Vol. 76, Iss. 2, pp. 313-331
Closed Access | Times Cited: 4
Rejoinder on ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’
Matthias Eckardt, Mehdi Moradi
Journal of Agricultural Biological and Environmental Statistics (2024) Vol. 29, Iss. 2, pp. 405-416
Open Access | Times Cited: 1
A diffusion-based kernel density estimator (diffKDE, version 1) with optimal bandwidth approximation for the analysis of data in geoscience and ecological research
Maria-Theresia Pelz, Markus Schartau, Christopher J. Somes, et al.
Geoscientific model development (2023) Vol. 16, Iss. 22, pp. 6609-6634
Open Access | Times Cited: 3
Spatial and spatio-temporal point patterns on linear networks
Mohammad Mehdi Moradi
(2018)
Open Access | Times Cited: 8
A Flexible Method for Estimating Luminosity Functions via Kernel Density Estimation
Zunli Yuan, M. J. Jarvis, Jiancheng Wang
The Astrophysical Journal Supplement Series (2020) Vol. 248, Iss. 1, pp. 1-1
Open Access | Times Cited: 8
Segment-Level Spatial Heterogeneity of Arterial Crash Frequency Using Locally Weighted Generalized Linear Models
Eskindir Ayele Atumo, Haibo Li, Xinguo Jiang
Transportation Research Record Journal of the Transportation Research Board (2022) Vol. 2677, Iss. 3, pp. 1637-1653
Closed Access | Times Cited: 4
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
Infill asymptotics for adaptive kernel estimators of spatial intensity
M. N. M. van Lieshout
Australian & New Zealand Journal of Statistics (2021) Vol. 63, Iss. 1, pp. 159-181
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
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