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 2021-08-01 to 2025-08-01.)

Article	Citations
	65
Modeling cycles and interdependence in irregularly sampled geophysical time series	21
A Dirichlet process model for change‐point detection with multivariate bioclimatic data	20
Rejoinder to the discussion on “A combined estimate of global temperature”	15
Scalable multiple changepoint detection for functional data sequences	15
A parametric model for distributions with flexible behaviour in both tails	11
Catalysing virtual collaboration: The experience of the remote TIES working groups	10
Nonlinear prediction of functional time series	10
	10
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms	10
	9
2023 Editorial Collaborators	9
	9
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure	8
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes	8
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields	7
Uncertainty: Nothing is more certain	7
An illustration of model agnostic explainability methods applied to environmental data	7
Issue Information	7
Discussion on “A combined estimate of global temperature”	7
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas	7
A projection‐based Laplace approximation for spatial latent variable models	7
Issue Information	7
A Bayesian framework for studying climate anomalies and social conflicts	7
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects	7

Clustering of bivariate satellite time series: A quantile approach	7
Issue Information	7
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data	6
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models	6
A double fixed rank kriging approach to spatial regression models with covariate measurement error	6
Assessing predictability of environmental time series with statistical and machine learning models	6
Issue Information	6
Discussion on “A combined estimate of global temperature”	6
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression	5
Issue Information	5
REDS: Random ensemble deep spatial prediction	5
Record events attribution in climate studies	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
	5
Emulation of greenhouse‐gas sensitivities using variational autoencoders	5
Statistical Inference for Natural Resources and Biodiversity	5
Stochastic tropical cyclone precipitation field generation	5
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
Comparing emulation methods for a high‐resolution storm surge model	4
Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables	4
Estimation of change with partially overlapping and spatially balanced samples	4
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires	4
Structural equation models for simultaneous modeling of air pollutants	4
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression	4
Issue Information	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
Assessing the ability of adaptive designs to capture trends in hard coral cover	4
CO₂has significant implications for hourly ambient temperature: Evidence from Hawaii	4
	4
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data	4
	4
Practical strategies for generalized extreme value‐based regression models for extremes	4
Issue Information	4
Intersection between environmental data science and the R community in Latin America	3
Environmental data science: Part 1	3
Detection of anomalous radioxenon concentrations: A distribution‐free approach	3
	3
The role of data science in environmental digital twins: In praise of the arrows	3
Long memory conditional random fields on regular lattices	3
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures	3
The scope of the Kalman filter for spatio‐temporal applications in environmental science	3
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data	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
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”	3
New generalized extreme value distribution with applications to extreme temperature data	3
	3

Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data	3
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression	3
Framing data science, analytics and statistics around the digital earth concept	3
	3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices	3