OOIR: Observatory of International Research

Papers

(The median citation count of Environmetrics is 1. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Practical strategies for generalized extreme value‐based regression models for extremes	13
Flexible covariate representations for extremes	13
Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method	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
Quantifying the impact of the modifiable areal unit problem when estimating the health effects of air pollution	11
Mitigating spatial confounding by explicitly correlating Gaussian random fields	11
Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models	11
Effects of corona virus disease‐19 control measures on air quality in North China	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
High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach	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
On modeling positive continuous data with spatiotemporal dependence	9
Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts	8
A spatio‐temporal model for the analysis and prediction of fine particulate matter concentration in Beijing	8
Robust functional multivariate analysis of variance with environmental applications	8
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 self‐exciting marked point process model for drought analysis	6
A combined estimate of global temperature	6
A spatiotemporal model for multivariate occupancy data	6
Spatial dependence of extreme seas in the North East Atlantic from satellite altimeter measurements	6
A spatial capture–recapture model with attractions between individuals	6

Scalable multiple changepoint detection for functional data sequences	6
Fast grid search and bootstrap‐based inference for continuous two‐phase polynomial regression models	6
Stochastic tropical cyclone precipitation field generation	5
On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi‐annual harmonics	5
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown	5
Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling	5
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling	5
Functional estimation of diversity profiles	5
A sample coordination method to monitor totals of environmental variables	5
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
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data	4
An extended and unified modeling framework for benchmark dose estimation for both continuous and binary data	4
An evolutionary Monte Carlo method for the analysis of turbidity high‐frequency time series through Markov switching autoregressive models	4
A flexible extended generalized Pareto distribution for tail estimation	4
Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition	4
Identifying meteorological drivers of PM_2.5 levels via a Bayesian spatial quantile regression	4
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes	4
A Dirichlet process model for change‐point detection with multivariate bioclimatic data	4
Heatwave duration: Characterizations using probabilistic inference	4
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
Space‐time autoregressive estimation and prediction with missing data based on Kalman filtering	4
Managing air quality: Predicting exceedances of legal limits for PM10 and O3 concentration using machine learning methods	4
Large‐scale environmental data science with ExaGeoStatR	3
A unified skew‐normal geostatistical factor model	3
Emulation of greenhouse‐gas sensitivities using variational autoencoders	3
A vector of point processes for modeling interactions between and within species using capture‐recapture data	3
Estimating functional single index models with compact support	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
Functional forecasting of dissolved oxygen in high‐frequency vertical lake profiles	3
Reconstruction of past human land use from pollen data and anthropogenic land cover changes	3
Nonparametric estimation of variable productivity Hawkes processes	3
Modeling nonstationary extremes of storm severity: Comparing parametric and semiparametric inference	3
Sequential spatially balanced sampling	3
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data	3
Nonlinear prediction of functional time series	3
REDS: Random ensemble deep spatial prediction	3
Framing data science, analytics and statistics around the digital earth concept	3
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data	3
On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada	3
A cyclostationary model for temporal forecasting and simulation of solar global horizontal irradiance	3
Spatial deformation for nonstationary extremal dependence	3
Discussion on “A combined estimate of global temperature”	2
The scope of the Kalman filter for spatio‐temporal applications in environmental science	2
Flood hazard model calibration using multiresolution model output	2
A Bayesian framework for studying climate anomalies and social conflicts	2
A note on statistical tests for homogeneities in multivariate extreme value models for block maxima	2
A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data	2

Sequential tests of causality between environmental time series: With application to the global warming theory	2
Spatial cluster detection with threshold quantile regression	2
Multistage hierarchical capture–recapture models	2
A smoothing spline model for multimodal and skewed circular responses: Applications in meteorology and oceanography	2
Random fields on the hypertorus: Covariance modeling and applications	2
Spatio‐temporal downscaling emulator for regional climate models	2
Incorporating covariate information in the covariance structure of misaligned spatial data	2
Flexible nonstationary spatiotemporal modeling of high‐frequency monitoring data	2
Changepoint detection in autocorrelated ordinal categorical time series	2
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms	2
A nonstationary and non‐Gaussian moving average model for solar irradiance	2
Two‐phase adaptive cluster sampling with circular field plots	2
Decisions, decisions, decisions in an uncertain environment	2
Detecting changes in mixed‐sampling rate data sequences	2
Bayesian variable selection for high‐dimensional rank data	2
Bayesian nonparametric monotone regression	2
Causal inference for quantile treatment effects	2
Regression methods for the appearances of extremes in climate data	2
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada	2
Modeling the spatial evolution wildfires using random spread process	1
On testing for the equality of autocovariance in time series	1
Data science applied to environmental sciences	1
CO₂ emissions and growth: A bivariate bidimensional mean‐variance random effects model	1
Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing	1
Comparing emulation methods for a high‐resolution storm surge model	1
Generalized least‐squares in dimension expansion method for nonstationary processes	1
Approximation of Bayesian Hawkes process with inlabru	1
Detecting British Columbia coastal rainfall patterns by clustering Gaussian processes	1
Likelihood‐based inference for spatiotemporal data with censored and missing responses	1
The role of data science in environmental digital twins: In praise of the arrows	1
Rejoinder to the discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources	1
Bayesian estimation of heterogeneous environments from animal movement data	1
Discussion on “A combined estimate of global temperature”	1
Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk	1
Discussion on “A combined estimate of global temperature”	1
Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data	1
Intersection between environmental data science and the R community in Latin America	1
Discussion on A high‐resolution bilevel skew‐tstochastic generator for assessing Saudi Arabia's wind energy resources	1
Families of complex‐valued covariance models through integration	1
Modeling short‐ranged dependence in block extrema with application to polar temperature data	1
CO₂has significant implications for hourly ambient temperature: Evidence from Hawaii	1
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto	1
From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources	1
Environmental data science: Part 2	1
Assessing the ability of adaptive designs to capture trends in hard coral cover	1
Discussion on A high‐resolution bilevel skew‐t stochastic generator for assessing Saudi Arabia's wind energy resources	1
Discussion on “A combined estimate of global temperature”	1
Record events attribution in climate studies	1
Environmental data science: Part 1	1
Uncertainty: Nothing is more certain	1
Stable sums to infer high return levels of multivariate rainfall time series	1
Data science and climate risk analytics	1
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency	1
Discussion on “A combined estimate of global temperature”	1
A hierarchical Bayesian non‐asymptotic extreme value model for spatial data	1
A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution	1
Data fusion with Gaussian processes for estimation of environmental hazard events	1
Statistical analysis of multi‐day solar irradiance using a threshold time series model	1
A double fixed rank kriging approach to spatial regression models with covariate measurement error	1
A parametric model for distributions with flexible behaviour in both tails	1
Bayesian geostatistical modeling for discrete‐valued processes	1