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 2021-09-01 to 2025-09-01.)

Article	Citations
	73
Modeling cycles and interdependence in irregularly sampled geophysical time series	21
Scalable multiple changepoint detection for functional data sequences	20
A parametric model for distributions with flexible behaviour in both tails	15
Rejoinder to the discussion on “A combined estimate of global temperature”	15
Catalysing virtual collaboration: The experience of the remote TIES working groups	11
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms	11
A Dirichlet process model for change‐point detection with multivariate bioclimatic data	10
	10
Nonlinear prediction of functional time series	10
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes	9
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure	9
2023 Editorial Collaborators	9
	9
	8
Issue Information	8
An illustration of model agnostic explainability methods applied to environmental data	8
Issue Information	8
A projection‐based Laplace approximation for spatial latent variable models	8
Analyzing Inter‐Hemispheric Climate Change Asymmetries With a Cointegrated Vector Autoregression	7
Discussion on “A combined estimate of global temperature”	7
Issue Information	7
Uncertainty: Nothing is more certain	7
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects	7
A Bayesian framework for studying climate anomalies and social conflicts	7

Clustering of bivariate satellite time series: A quantile approach	7
Issue Information	6
Assessing predictability of environmental time series with statistical and machine learning models	6
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas	6
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields	6
Statistical Inference for Natural Resources and Biodiversity	6
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models	6
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data	5
Record events attribution in climate studies	5
	5
Discussion on “A combined estimate of global temperature”	5
Issue Information	5
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data	5
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada	5
A double fixed rank kriging approach to spatial regression models with covariate measurement error	5
Emulation of greenhouse‐gas sensitivities using variational autoencoders	5
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression	5
CO₂has significant implications for hourly ambient temperature: Evidence from Hawaii	4
Assessing the ability of adaptive designs to capture trends in hard coral cover	4
Issue Information	4
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression	4
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment	4
Practical strategies for generalized extreme value‐based regression models for extremes	4
REDS: Random ensemble deep spatial prediction	4
Estimation of change with partially overlapping and spatially balanced samples	4
A Multivariate Space‐Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt. Pinatubo Eruption	4
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data	4
Semiparametric Approaches for Mitigating Spatial Confounding in Large Environmental Epidemiology Cohort Studies	4
Issue Information	4
Stochastic tropical cyclone precipitation field generation	4
Structural equation models for simultaneous modeling of air pollutants	4
	4
Comparing emulation methods for a high‐resolution storm surge model	4
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems	4
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach	4
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires	4
	3
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures	3
Detection of anomalous radioxenon concentrations: A distribution‐free approach	3
The scope of the Kalman filter for spatio‐temporal applications in environmental science	3
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling	3
Joint species distribution modeling with competition for space	3
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data	3
	3
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression	3
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data	3
Framing data science, analytics and statistics around the digital earth concept	3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices	3
Intersection between environmental data science and the R community in Latin America	3
Environmental data science: Part 1	3

New generalized extreme value distribution with applications to extreme temperature data	3
	3
The role of data science in environmental digital twins: In praise of the arrows	3
	2
Does Wind Affect the Orientation of Vegetation Stripes? A Copula‐Based Mixture Model for Axial and Circular Data	2
Approximation of Bayesian Hawkes process with inlabru	2
Regression methods for the appearances of extremes in climate data	2
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”	2
Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling	2
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”	2
Computational Benchmark Study in Spatio‐Temporal Statistics With a Hands‐On Guide to Optimise R	2
Estimating Extreme Wave Surges in the Presence of Missing Data	2
	2
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids	2
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown	2
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto	2
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters	2
Animal Trajectory Imputation and Uncertainty Quantification via Deep Learning	2
Issue Information	2
Long memory conditional random fields on regular lattices	2
A combined estimate of global temperature	2
Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk	1
On the identifiability of the trinomial model for mark‐recapture‐recovery studies	1
Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events	1
How to find the best sampling design: A new measure of spatial balance	1
2021 Editorial Collaborators	1
Novel Approach for Hierarchical Family Selection of an Ambient Air Pollutant Mixture With Application to Childhood Asthma	1
Issue Information	1
P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range	1
On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada	1
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes	1
Front Cover Image, Volume 34, Number 1, February 2023	1
	1
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency	1
Issue Information	1
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data	1
Issue Information	1
A nonstationary and non‐Gaussian moving average model for solar irradiance	1
Mitigating spatial confounding by explicitly correlating Gaussian random fields	1
A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities	1
Issue Information	1
Data science and climate risk analytics	1
	1
Pointwise data depth for univariate and multivariate functional outlier detection	1
A Partially Varying‐Coefficient Model With Skew‐T Random Errors for Environmental Data Modeling	1
A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data	1
Effects of Climate Change on House Prices in Outdoor Tourism Destinations: A Case Study of Southwestern Colorado	1
	1
Families of complex‐valued covariance models through integration	1
Issue Information	1
Fuzzy Clustering of Circular Time Series With Applications to Wind Data	1
Characterizing Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern US Rocky Mountains via the Tail Dependence Regression Framework With a Gibbs	1
A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions	1
Issue Information	1
	1
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models	1
On Tail Structural Change in U.S. Climate Data	1
Estimation of Impact Ranges for Functional Valued Predictors	1
Bayesian benchmark dose risk assessment with mixed‐factor quantal data	1
Issue Information	1
Fast parameter estimation of generalized extreme value distribution using neural networks	1
Multistage hierarchical capture–recapture models	1
Functional zoning of biodiversity profiles	1
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables	1
A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data	1