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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:

Non-Gaussian spatiotemporal modelling through scale mixing
Thaís C. O. Fonseca, Mark F. J. Steel
Biometrika (2011) Vol. 98, Iss. 4, pp. 761-774
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

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
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields
Pratik Nag, Ying Sun, Brian J. Reich
Technometrics (2025), pp. 1-20
Open Access
Space-Time Covariance Structures and Models
Wanfang Chen, Marc G. Genton, Ying Sun
Annual Review of Statistics and Its Application (2020) Vol. 8, Iss. 1, pp. 191-215
Closed Access | Times Cited: 35
Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process
Hamid Zareifard, ‎Majid Jafari Khaledi
Journal of Multivariate Analysis (2012) Vol. 114, pp. 16-28
Open Access | Times Cited: 43
Factor copula models for data with spatio-temporal dependence
Pavel Krupskii, Marc G. Genton
Spatial Statistics (2017) Vol. 22, pp. 180-195
Closed Access | Times Cited: 30
A general class of nonseparable space-time covariance models
Thaís C. O. Fonseca, Mark F. J. Steel
Environmetrics (2010) Vol. 22, Iss. 2, pp. 224-242
Closed Access | Times Cited: 33
A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness
Brian J. Reich, Dipankar Bandyopadhyay, Howard D. Bondell
Journal of the American Statistical Association (2013) Vol. 108, Iss. 503, pp. 820-831
Open Access | Times Cited: 26
Covariance structure of spatial and spatiotemporal processes
Peter Guttorp, Alexandra M. Schmidt
Wiley Interdisciplinary Reviews Computational Statistics (2013) Vol. 5, Iss. 4, pp. 279-287
Closed Access | Times Cited: 25
Spatiotemporal models for skewed processes
Alexandra M. Schmidt, Kelly C. M. Gonçalves, Patrícia L. Velozo
Environmetrics (2016) Vol. 28, Iss. 6
Closed Access | Times Cited: 16
Flexible spatial covariance functions
Alexandra M. Schmidt, Peter Guttorp
Spatial Statistics (2020) Vol. 37, pp. 100416-100416
Closed Access | Times Cited: 13
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
Spatial models for non‐Gaussian data with covariate measurement error
Vahid Tadayon, Mahmoud Torabi
Environmetrics (2018) Vol. 30, Iss. 3
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
Non-Gaussian Covariate-Dependent Spatial Measurement Error Model for Analyzing Big Spatial Data
Vahid Tadayon, Abdolrahman Rasekh
Journal of Agricultural Biological and Environmental Statistics (2018) Vol. 24, Iss. 1, pp. 49-72
Closed Access | Times Cited: 9
Multivariate spatial modelling through a convolution-based skewed process
Hamid Zareifard, ‎Majid Jafari Khaledi, Omar Dahdouh
Stochastic Environmental Research and Risk Assessment (2019) Vol. 33, Iss. 3, pp. 657-671
Closed Access | Times Cited: 9
Accounting for covariate information in the scale component of spatio-temporal mixing models
Renata S. Bueno, Thaís C. O. Fonseca, Alexandra M. Schmidt
Spatial Statistics (2017) Vol. 22, pp. 196-218
Closed Access | Times Cited: 7
Bayesian spatial–temporal modeling of air pollution data with dynamic variance and leptokurtosis
Amanda M. Y. Chu, Raymond W. M. Li, Mike K. P. So
Spatial Statistics (2018) Vol. 26, pp. 1-20
Closed Access | Times Cited: 6
Bayesian residual analysis for spatially correlated data
Viviana GR Lobo, Thaís CO Fonseca
Statistical Modelling (2019) Vol. 20, Iss. 2, pp. 171-194
Closed Access | Times Cited: 6
Copula-based multiple indicator kriging for non-Gaussian random fields
Gaurav Agarwal, Ying Sun, Huixia Wang
Spatial Statistics (2021) Vol. 44, pp. 100524-100524
Open Access | Times Cited: 6
Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems
Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, et al.
Journal of Parallel and Distributed Computing (2023) Vol. 180, pp. 104715-104715
Closed Access | Times Cited: 2
Spatio-temporal modelling of rainfall in the Murray-Darling Basin
Gen Nowak, A. H. Welsh, Terence J. O’Neill, et al.
Journal of Hydrology (2017) Vol. 557, pp. 522-538
Open Access | Times Cited: 5
ON SOME MATÉRN COVARIANCE FUNCTIONS FOR SPATIO-TEMPORAL RANDOM FIELDS
Ryan H. L. Ip, W.K. Li
Statistica Sinica (2017)
Closed Access | Times Cited: 4
Parallel Approximations of the Tukey g-and-h Likelihoods and Predictions for Non-Gaussian Geostatistics
Sagnik Mondal, Sameh Abdulah, Hatem Ltaief, et al.
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (2022), pp. 379-389
Closed Access | Times Cited: 3
A spatial skew-Gaussian process with a specified covariance function
‎Majid Jafari Khaledi, Hamid Zareifard, Hossein Boojari
Statistics & Probability Letters (2022) Vol. 192, pp. 109681-109681
Closed Access | Times Cited: 3
A non‐stationary factor copula model for non‐Gaussian spatial data
Sagnik Mondal, Pavel Krupskii, Marc G. Genton
Stat (2024) Vol. 13, Iss. 3
Open Access
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