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 2021-11-01 to 2025-11-01.)

Article	Citations
	82
Modeling cycles and interdependence in irregularly sampled geophysical time series	23
Scalable multiple changepoint detection for functional data sequences	21
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms	17
Rejoinder to the discussion on “A combined estimate of global temperature”	17
Catalysing virtual collaboration: The experience of the remote TIES working groups	13
	11
Nonlinear prediction of functional time series	11
	10
2023 Editorial Collaborators	10
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes	10
Clustering of bivariate satellite time series: A quantile approach	9
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure	9
Issue Information	9
An illustration of model agnostic explainability methods applied to environmental data	9
Issue Information	9
	9
Analyzing Inter‐Hemispheric Climate Change Asymmetries With a Cointegrated Vector Autoregression	8
Issue Information	8
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models	8
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects	8
Uncertainty: Nothing is more certain	8
Assessing predictability of environmental time series with statistical and machine learning models	7
Discussion on “A combined estimate of global temperature”	7
Statistical Inference for Natural Resources and Biodiversity	7

A Bayesian framework for studying climate anomalies and social conflicts	7
Issue Information	7
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas	7
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields	7
A double fixed rank kriging approach to spatial regression models with covariate measurement error	6
Issue Information	6
Discussion on “A combined estimate of global temperature”	6
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data	6
Emulation of greenhouse‐gas sensitivities using variational autoencoders	5
Structural equation models for simultaneous modeling of air pollutants	5
Stochastic tropical cyclone precipitation field generation	5
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression	5
	5
Issue Information	5
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data	5
Record events attribution in climate studies	5
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada	5
Practical strategies for generalized extreme value‐based regression models for extremes	4
Comparing emulation methods for a high‐resolution storm surge model	4
A Multivariate Space‐Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt. Pinatubo Eruption	4
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data	4
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression	4
Estimation of change with partially overlapping and spatially balanced samples	4
REDS: Random ensemble deep spatial prediction	4
Assessing the ability of adaptive designs to capture trends in hard coral cover	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
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures	4
Correction to “Estimation of Impact Ranges for Functional Valued Predictors”	4
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach	4
CO₂has significant implications for hourly ambient temperature: Evidence from Hawaii	4
	4
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems	4
Intersection between environmental data science and the R community in Latin America	4
	4
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment	4
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires	4
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data	3
New generalized extreme value distribution with applications to extreme temperature data	3
	3
Using Expected Improvement of Gradients for Robotic Exploration of Ocean Salinity Fronts	3
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”	3
	3
Joint species distribution modeling with competition for space	3
Environmental data science: Part 1	3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices	3
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling	3
The role of data science in environmental digital twins: In praise of the arrows	3
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids	3
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters	3

The scope of the Kalman filter for spatio‐temporal applications in environmental science	3
Detection of anomalous radioxenon concentrations: A distribution‐free approach	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
Long memory conditional random fields on regular lattices	3
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”	3