Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Tukeyg-and-hRandom Fields
Ganggang Xu, Marc G. Genton
Journal of the American Statistical Association (2016) Vol. 112, Iss. 519, pp. 1236-1249
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Statistical Deep Learning for Spatial and Spatiotemporal Data
Christopher K. Wikle, Andrew Zammit‐Mangion
Annual Review of Statistics and Its Application (2023) Vol. 10, Iss. 1, pp. 247-270
Open Access | Times Cited: 28
The Matérn Model: A Journey Through Statistics, Numerical Analysis and Machine Learning
Emilio Porcu, Moreno Bevilacqua, Robert Schaback, et al.
Statistical Science (2024) Vol. 39, Iss. 3
Open Access | Times Cited: 6
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields
Pratik Nag, Ying Sun, Brian J. Reich
Technometrics (2025), pp. 1-20
Open Access
Mission CO2ntrol: A Statistical Scientist's Role in Remote Sensing of Atmospheric Carbon Dioxide
Noel Cressie
Journal of the American Statistical Association (2018) Vol. 113, Iss. 521, pp. 152-168
Open Access | Times Cited: 53
Spherical Process Models for Global Spatial Statistics
Jaehong Jeong, Mikyoung Jun, Marc G. Genton
Statistical Science (2017) Vol. 32, Iss. 4
Open Access | Times Cited: 51
Spatial Modeling of Precipitation Based on Data-Driven Warping of Gaussian Processes
Vasiliki D. Agou, Andrew Pavlides, Dionissios T. Hristopulos
Entropy (2022) Vol. 24, Iss. 3, pp. 321-321
Open Access | Times Cited: 19
Covariance functions for multivariate Gaussian fields evolving temporally over planet earth
Alfredo Alegría, Emilio Porcu, Reinhard Furrer, et al.
Stochastic Environmental Research and Risk Assessment (2019) Vol. 33, Iss. 8-9, pp. 1593-1608
Closed Access | Times Cited: 30
Basis-Function Models in Spatial Statistics
Noel Cressie, Matthew Sainsbury-Dale, Andrew Zammit‐Mangion
Annual Review of Statistics and Its Application (2021) Vol. 9, Iss. 1, pp. 373-400
Open Access | Times Cited: 26
Reducing storage of global wind ensembles with stochastic generators
Jaehong Jeong, Stefano Castruccio, Paola Crippa, et al.
The Annals of Applied Statistics (2018) Vol. 12, Iss. 1
Open Access | Times Cited: 30
Non‐Gaussian geostatistical modeling using (skew) t processes
Moreno Bevilacqua, Christian Caamaño‐Carrillo, Reinaldo B. Arellano‐Valle, et al.
Scandinavian Journal of Statistics (2020) Vol. 48, Iss. 1, pp. 212-245
Open Access | Times Cited: 21
Non‐Gaussian autoregressive processes with Tukey ‐and‐h transformations
Yuan Yan, Marc G. Genton
Environmetrics (2018) Vol. 30, Iss. 2
Open Access | Times Cited: 21
Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures
Daniela Castro‐Camilo, Linda Mhalla, Thomas Opitz
Extremes (2020) Vol. 24, Iss. 1, pp. 105-128
Open Access | Times Cited: 18
Competition on Spatial Statistics for Large Datasets
Huang Huang, Sameh Abdulah, Ying Sun, et al.
Journal of Agricultural Biological and Environmental Statistics (2021) Vol. 26, Iss. 4, pp. 580-595
Closed Access | Times Cited: 17
Tukey max-stable processes for spatial extremes
Ganggang Xu, Marc G. Genton
Spatial Statistics (2016) Vol. 18, pp. 431-443
Closed Access | Times Cited: 17
Scalable Bayesian Transport Maps for High-Dimensional Non-Gaussian Spatial Fields
Matthias Katzfuß, Florian Schäfer
Journal of the American Statistical Association (2023) Vol. 119, Iss. 546, pp. 1409-1423
Open Access | Times Cited: 5
Estimating covariance functions of multivariate skew-Gaussian random fields on the sphere
Alfredo Alegría, Susanne Caro, Moreno Bevilacqua, et al.
Spatial Statistics (2017) Vol. 22, pp. 388-402
Open Access | Times Cited: 15
A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources
Felipe Tagle, Marc G. Genton, Andrew Yip, et al.
Environmetrics (2020) Vol. 31, Iss. 7
Closed Access | Times Cited: 13
On modeling positive continuous data with spatiotemporal dependence
Moreno Bevilacqua, Christian Caamaño‐Carrillo, Carlo Gaetan
Environmetrics (2020) Vol. 31, Iss. 7
Open Access | Times Cited: 13
Large‐scale environmental data science with ExaGeoStatR
Sameh Abdulah, Yuxiao Li, Jian Cao, et al.
Environmetrics (2022) Vol. 34, Iss. 1
Open Access | Times Cited: 8
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters
Sihan Chen, Sameh Abdulah, Ying Sun, et al.
Environmetrics (2024) Vol. 35, Iss. 6
Open Access | Times Cited: 1
Some Statistical Issues in Climate Science
Michael L. Stein
Statistical Science (2020) Vol. 35, Iss. 1
Open Access | Times Cited: 12
Gaussian likelihood inference on data from trans-Gaussian random fields with Matérn covariance function
Yuan Yan, Marc G. Genton
Environmetrics (2017) Vol. 29, Iss. 5-6
Open Access | Times Cited: 12
On the existence of some skew-Gaussian random field models
Behzad Mahmoudian
Statistics & Probability Letters (2018) Vol. 137, pp. 331-335
Closed Access | Times Cited: 12
Multivariate transformed Gaussian processes
Yuan Yan, Jaehong Jeong, Marc G. Genton
Japanese Journal of Statistics and Data Science (2019) Vol. 3, Iss. 1, pp. 129-152
Closed Access | Times Cited: 11
Are You All Normal? It Depends!
Wanfang Chen, Marc G. Genton
International Statistical Review (2022) Vol. 91, Iss. 1, pp. 114-139
Open Access | Times Cited: 7
Page 1 - Next Page

Scroll to top