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:

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

Showing 1-25 of 30 citing articles:

Advances in statistical modeling of spatial extremes
Raphaël Huser, Jennifer L. Wadsworth
Wiley Interdisciplinary Reviews Computational Statistics (2020) Vol. 14, Iss. 1
Open Access | Times Cited: 69

A Multivariate Approach for Modeling Spatio‐Temporal Agrometeorological Variables
Sandra De Iaco, Claudia Cappello, Monica Palma, et al.
Environmetrics (2025) Vol. 36, Iss. 2
Open Access

Mixed Copula-Based Uncertainty Modeling of Hourly Wind Farm Production for Power System Operational Planning Studies
Wolf Peter Jean Philippe, Shan Zhang, Sara Eftekharnejad, et al.
IEEE Access (2020) Vol. 8, pp. 138569-138583
Open Access | Times Cited: 25

Choosing suitable linear coregionalization models for spatio-temporal data
Sandra De Iaco, Monica Palma, D. Posa
Stochastic Environmental Research and Risk Assessment (2019) Vol. 33, Iss. 7, pp. 1419-1434
Closed Access | Times Cited: 17

Storm CAT Bond: Modeling and Valuation
Shimeng Huang, Jinggong Zhang, Wenjun Zhu
North American Actuarial Journal (2023), pp. 1-26
Open Access | Times Cited: 4

Geostatistical prediction through convex combination of Archimedean copulas
Babak Sohrabian
Spatial Statistics (2020) Vol. 41, pp. 100488-100488
Closed Access | Times Cited: 12

Variational inference for high dimensional structured factor copulas
Hoang Nguyen, M. Concepción Ausín, Pedro Galeano
Computational Statistics & Data Analysis (2020) Vol. 151, pp. 107012-107012
Open Access | Times Cited: 10

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

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

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

Copula‐based semiparametric models for spatiotemporal data
Yanlin Tang, Huixia Wang, Ying Sun, et al.
Biometrics (2019) Vol. 75, Iss. 4, pp. 1156-1167
Open Access | Times Cited: 5

Comments on: Spatiotemporal models for skewed processes
Marc G. Genton, Amanda S. Hering
Environmetrics (2017) Vol. 28, Iss. 6
Open Access | Times Cited: 4

Spatio-temporal modeling of an environmental trivariate vector combining air and soil measurements from Ireland
Claudia Cappello, Sandra De Iaco, Monica Palma, et al.
Spatial Statistics (2020) Vol. 42, pp. 100455-100455
Closed Access | Times Cited: 4

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

Generalized sinh-Gaussian random fields
Mehdi Homayouni, ‎Majid Jafari Khaledi
Communication in Statistics- Theory and Methods (2024), pp. 1-29
Closed Access

A heterogeneous Bayesian regression model for skewed spatial data
Hamid Zareifard, ‎Majid Jafari Khaledi
Spatial Statistics (2021) Vol. 46, pp. 100545-100545
Closed Access | Times Cited: 4

Multivariate Modeling for Spatio-Temporal Radon Flux Predictions
Sandra De Iaco, Claudia Cappello, Antonella Congedi, et al.
Entropy (2023) Vol. 25, Iss. 7, pp. 1104-1104
Open Access | Times Cited: 1

Spatio-temporal modeling of groundwater quality deterioration and resource depletion
Monica Palma, Sabrina Maggio, Claudia Cappello, et al.
Hydrogeology Journal (2023) Vol. 31, Iss. 6, pp. 1443-1461
Open Access | Times Cited: 1

Generalized spatial stick-breaking processes
Omar Dahdouh, ‎Majid Jafari Khaledi
Communications in Statistics - Simulation and Computation (2020) Vol. 51, Iss. 8, pp. 4638-4657
Closed Access | Times Cited: 2

Risk measurement of global stock markets: a factor copula-based GJR-GARCH approach
Quanrui Song, Jianxu Liu, Songsak Sriboonchitta
Journal of Physics Conference Series (2019) Vol. 1324, Iss. 1, pp. 012098-012098
Open Access | Times Cited: 1

Advances in Statistical Modeling of Spatial Extremes
Raphaël Huser, Jennifer L. Wadsworth
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1

Estimation of spatio-temporal extreme distribution using a quantile factor model
Joonpyo Kim, Seoncheol Park, Junhyeon Kwon, et al.
Extremes (2021) Vol. 24, Iss. 1, pp. 177-195
Closed Access | Times Cited: 1

Cox Processes Associated with Spatial Copula Observed through Stratified Sampling
Walguen Oscar, Jean Vaillant
Mathematics (2021) Vol. 9, Iss. 5, pp. 524-524
Open Access | Times Cited: 1

Conditional normal extreme-value copulas
Pavel Krupskii, Marc G. Genton
Extremes (2021) Vol. 24, Iss. 3, pp. 403-431
Closed Access | Times Cited: 1

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