OOIR: Observatory of International Research

Papers

(The TQCC of Spatial Statistics is 6. 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 2021-09-01 to 2025-09-01.)

Article	Citations
A flexible class of priors for orthonormal matrices with basis function-specific structure	64
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	64
Bayesian geographically weighted regression using Fused Lasso prior	54
Spatial linear discriminant analysis approaches for remote-sensing classification	54
A more accurate estimation with kernel machine for nonparametric spatial lag models	39
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	28
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	25
Correlation-based hierarchical clustering of time series with spatial constraints	24
Tests for isotropy in spatial point patterns – A comparison of statistical indices	24
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	21
Derivative-based spatial mediation with INLA-SPDE	21
Using neural networks to estimate parameters in spatial point process models	20
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	20
Transfer learning for high dimensional spatial autoregressive model	20
Modeling spatial correlation that grows on trees, with a stream network application	19
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	18
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	17
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	17
Editorial: The impact of spatial statistics	16
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	16
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	15
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	14
Attribute based spatial segmentation for optimising POI placement	13
A spatial autoregressive graphical model	13
Robust interaction detector: A case of road life expectancy analysis	13

A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	13
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants	12
Information criteria for matrix exponential spatial specifications	12
Nonparametric isotropy test for spatial point processes using random rotations	11
A marked sequential point process for disease surveillance: Modeling and optimization	11
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	11
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	11
An interaction Neyman–Scott point process model for coronavirus disease-19	11
Dynamic ICAR Spatiotemporal Factor Models	11
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	10
A log-additive neural model for spatio-temporal prediction of groundwater levels	10
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	10
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	10
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	9
Regime-based precipitation modeling: A spatio-temporal approach	9
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	9
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	9
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	9
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	8
A new class of α-transformations for the spatial analysis of Compo	8
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	8
Variograms for kriging and clustering of spatial functional data with phase variation	8
A criterion and incremental design construction for simultaneous kriging predictions	8
A generalized additive model (GAM) approach to principal component analysis of geographic data	8
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	8
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	8
Mapping the short-term exposure–response relationships between environmental factors and health outcomes and identifying the causes of heterogeneity: A multivariate-conditional-meta-autoregression-bas	8
Flexible spatio-temporal Hawkes process models for earthquake occurrences	8
Spatial Bayesian neural networks	8
Spatio-temporal small area surveillance of the COVID-19 pandemic	7
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Flexible modeling of multivariate spatial extremes	7
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	7
A spatio-temporal model for temporal evolution of spatial extremal dependence	7
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	7
Editorial: Spatio-temporal dynamics of Covid	7
A multivariate spatial and spatiotemporal ARCH Model	7
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	7
A Poisson cokriging method for bivariate count data	7
On the importance of thinking locally for statistics and society	7
Probabilistic Context Neighborhood model for lattices	7
Which parameterization of the Matérn covariance function?	7
A parametric specification test for linear spatial autoregressive models	7
Measurement error-filtered machine learning in digital soil mapping	6
Covariate-dependent spatio-temporal covariance models	6
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	6
Using spatial ordinal patterns for non-parametric testing of spatial dependence	6
Source reconstruction for spatio-temporal physical statistical models	6
Clustered factor analysis for multivariate spatial data	6

A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	6
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	6