Spatial Statistics

Papers
(The H4-Index of Spatial Statistics is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
A more accurate estimation with kernel machine for nonparametric spatial lag models96
Explicit modeling of density dependence in spatial capture-recapture models91
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting71
Functional random field data analysis using nonparametric 57
Bayesian geographically weighted regression using Fused Lasso prior51
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia42
Spatial linear discriminant analysis approaches for remote-sensing classification38
Transforming point forecasts into probabilistic wind power scenarios using a hierarchical Bayesian model33
A Bayesian INLA-SPDE approach to spatio-temporal point-grid fusion with change-of-support and misaligned covariates30
An improved statistical framework for the HeTerogeneity Average (HTA) Index28
A flexible class of priors for orthonormal matrices with basis function-specific structure27
Derivative-based spatial mediation with INLA-SPDE26
Geographically weighted Poisson–Tweedie model for count data25
Voronoi linkage between mismatching voting stations and census tracts in analyzing the 2018 Brazilian presidential election data25
Using neural networks to estimate parameters in spatial point process models24
Dynamic spatial regimes for spatial panel data21
Measuring unit relevance and stability in hierarchical spatio-temporal clustering21
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss20
Tests for isotropy in spatial point patterns – A comparison of statistical indices20
A random quantile approach for prior covariance estimation in Bayesian Maximum Entropy19
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment19
Correlation-based hierarchical clustering of time series with spatial constraints19
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