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 2020-11-01 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
Spatial hierarchical modeling of threshold exceedances using rate mixtures	10
High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach	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
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
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
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
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
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
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
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
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
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
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
Comparing emulation methods for a high‐resolution storm surge model	2
Regression methods for the appearances of extremes in climate data	2
Spatial cluster detection with threshold quantile regression	2
A nonstationary and non‐Gaussian moving average model for solar irradiance	2
Two‐phase adaptive cluster sampling with circular field plots	2
Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk	2

New estimation methods for extremal bivariate return curves	2
Modeling the spatial evolution wildfires using random spread process	2
Flexible nonstationary spatiotemporal modeling of high‐frequency monitoring data	2
Changepoint detection in autocorrelated ordinal categorical time series	2
Discussion on “A combined estimate of global temperature”	2
Statistical analysis of multi‐day solar irradiance using a threshold time series model	2
Environmental data science: Part 2	2
Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling	2
Bayesian variable selection for high‐dimensional rank data	2
Improving piecewise linear snow density models through hierarchical spatial and orthogonal functional smoothing	2
A note on statistical tests for homogeneities in multivariate extreme value models for block maxima	2
Causal inference for quantile treatment effects	2
A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution	2
CO₂has significant implications for hourly ambient temperature: Evidence from Hawaii	2
Bayesian geostatistical modeling for discrete‐valued processes	2
From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources	2
On testing for the equality of autocovariance in time series	2
Flood hazard model calibration using multiresolution model output	2
A Bayesian framework for studying climate anomalies and social conflicts	2
Quantifying and correcting geolocation error in spaceborne LiDAR forest canopy observations using high spatial accuracy data: A Bayesian model approach	2
Generalized least‐squares in dimension expansion method for nonstationary processes	1
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables	1
A hierarchical Bayesian non‐asymptotic extreme value model for spatial data	1
Estimating atmospheric motion winds from satellite image data using space‐time drift models	1
Discussion on “A combined estimate of global temperature”	1
Discussion on “A combined estimate of global temperature”	1
Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability	1
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data	1
Uncertainty: Nothing is more certain	1
Under the mantra: ‘Make use of colorblind friendly graphs’	1
Stable sums to infer high return levels of multivariate rainfall time series	1
Fast parameter estimation of generalized extreme value distribution using neural networks	1
Discussion on “A combined estimate of global temperature”	1
Sampling design methods for making improved lake management decisions	1
Likelihood‐based inference for spatiotemporal data with censored and missing responses	1
Long memory conditional random fields on regular lattices	1
Bayesian estimation of heterogeneous environments from animal movement data	1
Record events attribution in climate studies	1
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto	1
Environmental data science: Part 1	1
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields	1
Clustering of bivariate satellite time series: A quantile approach	1
A hierarchical integrative group least absolute shrinkage and selection operator for analyzing environmental mixtures	1
Data science and climate risk analytics	1
Benchmark dose risk analysis with mixed‐factor quantal data in environmental risk assessment	1
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure	1
Families of complex‐valued covariance models through integration	1
Spatial regression modeling via the R2D2 framework	1
Comparing estimation of the parameters of distribution of the root density of plants in the presence of outliers	1
Assessing the ability of adaptive designs to capture trends in hard coral cover	1
Estimation and selection for spatial zero‐inflated count models	1
Discussion on “A combined estimate of global temperature”	1
Detection of anomalous radioxenon concentrations: A distribution‐free approach	1
High dimensional variable selection through group Lasso for multiple function‐on‐function linear regression: A case study in PM₁₀ monitoring	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