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 2021-06-01 to 2025-06-01.)

Article	Citations
	57
A parametric model for distributions with flexible behaviour in both tails	20
Modeling cycles and interdependence in irregularly sampled geophysical time series	17
Scalable multiple changepoint detection for functional data sequences	15
Rejoinder to the discussion on “A combined estimate of global temperature”	13
A Dirichlet process model for change‐point detection with multivariate bioclimatic data	11
Catalysing virtual collaboration: The experience of the remote TIES working groups	10
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms	9
Nonlinear prediction of functional time series	9
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A self‐exciting marked point process model for drought analysis	9
2023 Editorial Collaborators	8
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Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects	7
A projection‐based Laplace approximation for spatial latent variable models	7
Issue Information	7
Issue Information	7
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure	7
Issue Information	7
An illustration of model agnostic explainability methods applied to environmental data	7
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas	6
Assessing predictability of environmental time series with statistical and machine learning models	6
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models	6
Clustering of bivariate satellite time series: A quantile approach	6

Discussion on “A combined estimate of global temperature”	6
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields	6
A Bayesian framework for studying climate anomalies and social conflicts	6
Uncertainty: Nothing is more certain	6
Record events attribution in climate studies	5
Statistical Inference for Natural Resources and Biodiversity	5
Issue Information	5
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression	5
Discussion on “A combined estimate of global temperature”	5
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data	5
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data	5
Emulation of greenhouse‐gas sensitivities using variational autoencoders	5
Issue Information	5
A double fixed rank kriging approach to spatial regression models with covariate measurement error	5
CO₂has significant implications for hourly ambient temperature: Evidence from Hawaii	4
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires	4
Assessing the ability of adaptive designs to capture trends in hard coral cover	4
Estimation of change with partially overlapping and spatially balanced samples	4
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Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada	4
Structural equation models for simultaneous modeling of air pollutants	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
REDS: Random ensemble deep spatial prediction	4
Using an autonomous underwater vehicle with onboard stochastic advection‐diffusion models to map excursion sets of environmental variables	4
Stochastic tropical cyclone precipitation field generation	4
Practical strategies for generalized extreme value‐based regression models for extremes	4
Issue Information	4
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment	4
The scope of the Kalman filter for spatio‐temporal applications in environmental science	3
Joint species distribution modeling with competition for space	3
New generalized extreme value distribution with applications to extreme temperature data	3
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression	3
Intersection between environmental data science and the R community in Latin America	3
Comparing emulation methods for a high‐resolution storm surge model	3
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Framing data science, analytics and statistics around the digital earth concept	3
Estimation of the spatial weighting matrix for regular lattice data—An adaptive lasso approach with cross‐sectional resampling	3
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Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures	3
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data	3
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data	3
Detection of anomalous radioxenon concentrations: A distribution‐free approach	3
The role of data science in environmental digital twins: In praise of the arrows	3
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling	3
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data	3
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems	3

Environmental data science: Part 1	3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices	3