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 2022-01-01 to 2026-01-01.)

Article	Citations
	94
Rejoinder to the discussion on “A combined estimate of global temperature”	24
Catalysing virtual collaboration: The experience of the remote TIES working groups	21
Nonlinear prediction of functional time series	19
Spatio‐Temporal Analysis of Extreme PM2.5 Levels in Taiwan	17
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms	12
2023 Editorial Collaborators	11
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes	11
An illustration of model agnostic explainability methods applied to environmental data	11
	11
Issue Information	9
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects	9
	9
Issue Information	9
Analyzing Inter‐Hemispheric Climate Change Asymmetries With a Cointegrated Vector Autoregression	9
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure	9
Issue Information	9
A Bayesian framework for studying climate anomalies and social conflicts	8
Clustering of bivariate satellite time series: A quantile approach	8
Discussion on “A combined estimate of global temperature”	8
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields	8
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models	8
Assessing predictability of environmental time series with statistical and machine learning models	7
Issue Information	7
Uncertainty: Nothing is more certain	7

Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas	7
A double fixed rank kriging approach to spatial regression models with covariate measurement error	6
Discussion on “A combined estimate of global temperature”	6
Issue Information	6
Statistical Inference for Natural Resources and Biodiversity	6
Emulation of greenhouse‐gas sensitivities using variational autoencoders	6
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data	6
Record events attribution in climate studies	6
REDS: Random ensemble deep spatial prediction	5
Structural equation models for simultaneous modeling of air pollutants	5
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression	5
Issue Information	5
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada	5
Assessing the ability of adaptive designs to capture trends in hard coral cover	5
	5
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires	5
	5
CO₂has significant implications for hourly ambient temperature: Evidence from Hawaii	5
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data	5
Stochastic tropical cyclone precipitation field generation	5
	4
Correction to “Estimation of Impact Ranges for Functional Valued Predictors”	4
A Multivariate Space‐Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt. Pinatubo Eruption	4
Using Expected Improvement of Gradients for Robotic Exploration of Ocean Salinity Fronts	4
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures	4
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data	4
The scope of the Kalman filter for spatio‐temporal applications in environmental science	4
Comparing emulation methods for a high‐resolution storm surge model	4
Non‐Stationarities in Extreme Hourly Precipitation Over the Piave Basin, Northern Italy	4
Practical strategies for generalized extreme value‐based regression models for extremes	4
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach	4
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression	4
Intersection between environmental data science and the R community in Latin America	4
Detection of anomalous radioxenon concentrations: A distribution‐free approach	4
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems	4
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data	4
Estimation of change with partially overlapping and spatially balanced samples	4
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment	4
Semiparametric Approaches for Mitigating Spatial Confounding in Large Environmental Epidemiology Cohort Studies	4
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data	4
	4
New generalized extreme value distribution with applications to extreme temperature data	4
Simulation‐Based Inference for Close‐Kin Mark‐Recapture: Implications for Small Populations and Nonrandom Mating	3
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”	3
WOMBAT v2.S: A Bayesian Inversion Framework for Attributing Global CO ₂ Flux Components From Multiprocess Data	3
	3
Joint species distribution modeling with competition for space	3
Long memory conditional random fields on regular lattices	3
	3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices	3

The role of data science in environmental digital twins: In praise of the arrows	3
	3
Trends in Rainfall and Temperature in the Murray Mallee and Upper Eyre Peninsula Region of South Australia—Connections to Climate and Land Use Change	3
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters	3
Environmental data science: Part 1	3
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression	3
Framing data science, analytics and statistics around the digital earth concept	3
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids	3
Approximation of Bayesian Hawkes process with inlabru	2
Data science and climate risk analytics	2
Pointwise data depth for univariate and multivariate functional outlier detection	2
	2
Bayesian benchmark dose risk assessment with mixed‐factor quantal data	2
Estimating Extreme Wave Surges in the Presence of Missing Data	2
Animal Trajectory Imputation and Uncertainty Quantification via Deep Learning	2
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto	2
Issue Information	2
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency	2
On Tail Structural Change in U.S. Climate Data	2
A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities	2
Functional zoning of biodiversity profiles	2
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown	2
Computational Benchmark Study in Spatio‐Temporal Statistics With a Hands‐On Guide to Optimise R	2
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”	2
A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data	2
	2
P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range	2
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables	2
Does Wind Affect the Orientation of Vegetation Stripes? A Copula‐Based Mixture Model for Axial and Circular Data	2
Regression methods for the appearances of extremes in climate data	2
Families of complex‐valued covariance models through integration	2
Skew Gaussian Markov Random Fields Under Decomposable Graphs	1
Multistage hierarchical capture–recapture models	1
Issue Information	1
Comonotonic‐Based Time Series Clustering With Constraints: A Review and a Conceptual Framework	1
Adaptive Now‐ and Forecasting of Global Temperatures Under Smooth Structural Changes	1
Issue Information	1
Front Cover Image, Volume 34, Number 1, February 2023	1
	1
How to find the best sampling design: A new measure of spatial balance	1
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data	1
Estimation of Impact Ranges for Functional Valued Predictors	1
Fast parameter estimation of generalized extreme value distribution using neural networks	1
Novel Approach for Hierarchical Family Selection of an Ambient Air Pollutant Mixture With Application to Childhood Asthma	1
New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models	1
Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO₂ Emissions	1
	1
Compactly‐Supported Nonstationary Kernels for Computing Exact Gaussian Processes on Big Data	1
Issue Information	1
Issue Information	1
Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events	1
Effects of Climate Change on House Prices in Outdoor Tourism Destinations: A Case Study of Southwestern Colorado	1
Multiscale Multi‐Type Spatial Bayesian Analysis for High‐Dimensional Data With Application to Wildfires and Migration	1
Issue Information	1
A Partially Varying‐Coefficient Model With Skew‐T Random Errors for Environmental Data Modeling	1
Return Period of Nonconcurrent Climate Compound Events: A Nonparametric Bivariate Generalized Pareto Approach	1
Linear Assignment Sampling: Spatially Balanced Sampling With Auxiliary Variables	1
Issue Information	1
Bayesian Multiple Change Point Detection in the Presence of Outliers and Its Application to the Magnitude‐Frequency Distributions	1
On the identifiability of the trinomial model for mark‐recapture‐recovery studies	1
Mitigating spatial confounding by explicitly correlating Gaussian random fields	1
	1
2021 Editorial Collaborators	1
Issue Information	1
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models	1
On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada	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
Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk	1
	1
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes	1
A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data	1