OOIR: Observatory of International Research

Papers

(The TQCC of Environmetrics is 3. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method	17
Practical strategies for generalized extreme value‐based regression models for extremes	13
A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLA	12
Modeling spatial data using local likelihood estimation and a Matérn to spatial autoregressive translation	12
Mitigating spatial confounding by explicitly correlating Gaussian random fields	12
Quantifying the impact of the modifiable areal unit problem when estimating the health effects of air pollution	12
Effects of corona virus disease‐19 control measures on air quality in North China	11
Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models	11
A spatio‐temporal model for the analysis and prediction of fine particulate matter concentration in Beijing	11
A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources	10
Spatial hierarchical modeling of threshold exceedances using rate mixtures	10
On modeling positive continuous data with spatiotemporal dependence	9
A parametric model for distributions with flexible behavior in both tails	9
Ensemble forecasting of the Zika space‐time spread with topological data analysis	9
High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach	9
Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts	9
Robust functional multivariate analysis of variance with environmental applications	8
A spatial capture–recapture model with attractions between individuals	7
Spatial dependence of extreme seas in the North East Atlantic from satellite altimeter measurements	7
Stochastic tropical cyclone precipitation field generation	6
A spatiotemporal model for multivariate occupancy data	6
A self‐exciting marked point process model for drought analysis	6
A combined estimate of global temperature	6
Fast grid search and bootstrap‐based inference for continuous two‐phase polynomial regression models	6
Scalable multiple changepoint detection for functional data sequences	6

Simultaneous autoregressive models for spatial extremes	6
Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables	6
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown	6
Functional estimation of diversity profiles	5
On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada	5
Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling	5
On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics	5
Managing air quality: Predicting exceedances of legal limits for PM10 and O3 concentration using machine learning methods	5
Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition	5
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling	5
A flexible extended generalized Pareto distribution for tail estimation	5
Heterogeneity pursuit for spatial point pattern with application to tree locations: A Bayesian semiparametric recourse	4
Adjusting a finite population block kriging estimator for imperfect detection	4
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes	4
An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models	4
Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution	4
Spatiotemporal clustering using Gaussian processes embedded in a mixture model	4
Estimating functional single index models with compact support	4
Space‐time autoregressive estimation and prediction with missing data based on Kalman filtering	4
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data	4
Reconstruction of past human land use from pollen data and anthropogenic land cover changes	4
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data	4
Identifying meteorological drivers of PM_2.5 levels via a Bayesian spatial quantile regression	4
An extended and unified modeling framework for benchmark dose estimation for both continuous and binary data	4
A Dirichlet process model for change‐point detection with multivariate bioclimatic data	4
REDS: Random ensemble deep spatial prediction	3
Emulation of greenhouse‐gas sensitivities using variational autoencoders	3
Decisions, decisions, decisions in an uncertain environment	3
Random fields on the hypertorus: Covariance modeling and applications	3
Sequential spatially balanced sampling	3
An illustration of model agnostic explainability methods applied to environmental data	3
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach	3
Large‐scale environmental data science with ExaGeoStatR	3
A unified skew‐normal geostatistical factor model	3
Nonparametric estimation of variable productivity Hawkes processes	3
A vector of point processes for modeling interactions between and within species using capture‐recapture data	3
Modeling nonstationary extremes of storm severity: Comparing parametric and semiparametric inference	3
A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance	3
Spatial deformation for nonstationary extremal dependence	3
Functional forecasting of dissolved oxygen in high‐frequency vertical lake profiles	3
Framing data science, analytics and statistics around the digital earth concept	3
The scope of the Kalman filter for spatio‐temporal applications in environmental science	3
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data	3
Data science applied to environmental sciences	3
Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐19	3
Nonlinear prediction of functional time series	3