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 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
Clustering of bivariate satellite time series: A quantile approach	7
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
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models	6
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
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
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
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
	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