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 2021-05-01 to 2025-05-01.)

Article	Citations
Rejoinder to the discussion on “A combined estimate of global temperature”	54
	20
Bayesian estimation of heterogeneous environments from animal movement data	17
A Dirichlet process model for change‐point detection with multivariate bioclimatic data	16
A parametric model for distributions with flexible behaviour in both tails	13
Modeling cycles and interdependence in irregularly sampled geophysical time series	12
Catalysing virtual collaboration: The experience of the remote TIES working groups	10
Scalable multiple changepoint detection for functional data sequences	9
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms	9
Nonlinear prediction of functional time series	9
A self‐exciting marked point process model for drought analysis	9
A projection‐based Laplace approximation for spatial latent variable models	8
	8
	7
2023 Editorial Collaborators	7
An illustration of model agnostic explainability methods applied to environmental data	7
	7
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure	7
A Bayesian framework for studying climate anomalies and social conflicts	6
Clustering of bivariate satellite time series: A quantile approach	6
Issue Information	6
Discussion on “A combined estimate of global temperature”	6
Issue Information	6
Uncertainty: Nothing is more certain	6
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects	6

Issue Information	6
A double fixed rank kriging approach to spatial regression models with covariate measurement error	5
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data	5
Assessing predictability of environmental time series with statistical and machine learning models	5
Discussion on “A combined estimate of global temperature”	5
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression	5
Issue Information	5
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data	5
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models	5
Statistical Inference for Natural Resources and Biodiversity	5
Issue Information	5
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas	5
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields	5
Record events attribution in climate studies	4
	4
CO₂has significant implications for hourly ambient temperature: Evidence from Hawaii	4
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach	4
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada	4
Emulation of greenhouse‐gas sensitivities using variational autoencoders	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
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
REDS: Random ensemble deep spatial prediction	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
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data	3
	3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices	3
Environmental data science: Part 1	3
Assessing the ability of adaptive designs to capture trends in hard coral cover	3
	3
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures	3
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data	3
New generalized extreme value distribution with applications to extreme temperature data	3
Detection of anomalous radioxenon concentrations: A distribution‐free approach	3
Comparing emulation methods for a high‐resolution storm surge model	3
Issue Information	3
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression	3
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems	3
	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
Practical strategies for generalized extreme value‐based regression models for extremes	3
Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models	3