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 2020-11-01 to 2024-11-01.)

Article	Citations
Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method	29
Practical strategies for generalized extreme value‐based regression models for extremes	14
Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models	14
Mitigating spatial confounding by explicitly correlating Gaussian random fields	13
Effects of corona virus disease‐19 control measures on air quality in North China	12
High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach	10
Spatial hierarchical modeling of threshold exceedances using rate mixtures	10
Spatial dependence of extreme seas in the North East Atlantic from satellite altimeter measurements	9
Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts	9
Stochastic tropical cyclone precipitation field generation	7
Scalable multiple changepoint detection for functional data sequences	7
A combined estimate of global temperature	7
On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada	7
Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling	7
A flexible extended generalized Pareto distribution for tail estimation	7
Large‐scale environmental data science with ExaGeoStatR	6
A self‐exciting marked point process model for drought analysis	6
Fast grid search and bootstrap‐based inference for continuous two‐phase polynomial regression models	6
Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition	6
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling	6
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown	6
Spatiotemporal clustering using Gaussian processes embedded in a mixture model	6
An illustration of model agnostic explainability methods applied to environmental data	6
Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables	6
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data	5

Managing air quality: Predicting exceedances of legal limits for PM10 and O3 concentration using machine learning methods	5
Approximation of Bayesian Hawkes process with inlabru	5
REDS: Random ensemble deep spatial prediction	5
The scope of the Kalman filter for spatio‐temporal applications in environmental science	5
Estimating functional single index models with compact support	5
Spatial deformation for nonstationary extremal dependence	5
Heterogeneity pursuit for spatial point pattern with application to tree locations: A Bayesian semiparametric recourse	5
Random fields on the hypertorus: Covariance modeling and applications	5
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes	5
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data	5
On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics	5
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
An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models	4
Functional forecasting of dissolved oxygen in high‐frequency vertical lake profiles	4
Identifying meteorological drivers of PM_2.5 levels via a Bayesian spatial quantile regression	4
A Dirichlet process model for change‐point detection with multivariate bioclimatic data	4
Nonparametric estimation of variable productivity Hawkes processes	4
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency	4
Quantile based modeling of diurnal temperature range with the five‐parameter lambda distribution	4
Framing data science, analytics and statistics around the digital earth concept	3
Detecting changes in mixed‐sampling rate data sequences	3
Spatio‐temporal downscaling emulator for regional climate models	3
Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation	3
A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance	3
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms	3
A unified skew‐normal geostatistical factor model	3
A double fixed rank kriging approach to spatial regression models with covariate measurement error	3
Recognizing a spatial extreme dependence structure: A deep learning approach	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
CO₂ emissions and growth: A bivariate bidimensional mean‐variance random effects model	3
A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data	3
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach	3
The role of data science in environmental digital twins: In praise of the arrows	3
Multistage hierarchical capture–recapture models	3
Emulation of greenhouse‐gas sensitivities using variational autoencoders	3
Decisions, decisions, decisions in an uncertain environment	3
Data science applied to environmental sciences	3
Sequential spatially balanced sampling	3
Two years of COVID‐19 pandemic: The Italian experience of Statgroup‐19	3
Nonlinear prediction of functional time series	3
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada	3
Air pollution estimation under air stagnation—A case study of Beijing	3