Spatial Statistics

Papers
(The H4-Index of Spatial Statistics is 20. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
A flexible class of priors for orthonormal matrices with basis function-specific structure89
A more accurate estimation with kernel machine for nonparametric spatial lag models86
Explicit modeling of density dependence in spatial capture-recapture models66
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data48
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia45
Bayesian geographically weighted regression using Fused Lasso prior38
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting35
Spatial linear discriminant analysis approaches for remote-sensing classification30
Functional random field data analysis using nonparametric 28
A simultaneous system of dynamic spatial stochastic frontier models with dependent error components and inefficiency determinants27
A random quantile approach for prior covariance estimation in Bayesian Maximum Entropy26
Estimating the growth rate of infection during the early phase of a pandemic like COVID-1925
Transfer learning for high dimensional spatial autoregressive model25
Geographically weighted Poisson–Tweedie model for count data24
Using neural networks to estimate parameters in spatial point process models23
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss23
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment22
Measuring unit relevance and stability in hierarchical spatio-temporal clustering22
Dynamic spatial regimes for spatial panel data22
Correlation-based hierarchical clustering of time series with spatial constraints20
0.37703895568848