Environmetrics

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 2022-01-01 to 2026-01-01.)
ArticleCitations
94
Rejoinder to the discussion on “A combined estimate of global temperature”24
Catalysing virtual collaboration: The experience of the remote TIES working groups21
Nonlinear prediction of functional time series19
Spatio‐Temporal Analysis of Extreme PM2.5 Levels in Taiwan17
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms12
11
2023 Editorial Collaborators11
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes11
An illustration of model agnostic explainability methods applied to environmental data11
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure9
Issue Information9
Issue Information9
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects9
9
Issue Information9
Analyzing Inter‐Hemispheric Climate Change Asymmetries With a Cointegrated Vector Autoregression9
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields8
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models8
A Bayesian framework for studying climate anomalies and social conflicts8
Clustering of bivariate satellite time series: A quantile approach8
Discussion on “A combined estimate of global temperature”8
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas7
Assessing predictability of environmental time series with statistical and machine learning models7
Issue Information7
Uncertainty: Nothing is more certain7
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data6
Record events attribution in climate studies6
A double fixed rank kriging approach to spatial regression models with covariate measurement error6
Discussion on “A combined estimate of global temperature”6
Issue Information6
Statistical Inference for Natural Resources and Biodiversity6
Emulation of greenhouse‐gas sensitivities using variational autoencoders6
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data5
Stochastic tropical cyclone precipitation field generation5
REDS: Random ensemble deep spatial prediction5
Structural equation models for simultaneous modeling of air pollutants5
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression5
Issue Information5
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada5
Assessing the ability of adaptive designs to capture trends in hard coral cover5
5
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires5
5
CO2has significant implications for hourly ambient temperature: Evidence from Hawaii5
Estimation of change with partially overlapping and spatially balanced samples4
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment4
Semiparametric Approaches for Mitigating Spatial Confounding in Large Environmental Epidemiology Cohort Studies4
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data4
4
New generalized extreme value distribution with applications to extreme temperature data4
4
Correction to “Estimation of Impact Ranges for Functional Valued Predictors”4
A Multivariate Space‐Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt. Pinatubo Eruption4
Using Expected Improvement of Gradients for Robotic Exploration of Ocean Salinity Fronts4
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures4
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data4
The scope of the Kalman filter for spatio‐temporal applications in environmental science4
Comparing emulation methods for a high‐resolution storm surge model4
Non‐Stationarities in Extreme Hourly Precipitation Over the Piave Basin, Northern Italy4
Practical strategies for generalized extreme value‐based regression models for extremes4
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach4
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression4
Intersection between environmental data science and the R community in Latin America4
Detection of anomalous radioxenon concentrations: A distribution‐free approach4
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems4
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data4
Environmental data science: Part 13
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression3
Framing data science, analytics and statistics around the digital earth concept3
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids3
Simulation‐Based Inference for Close‐Kin Mark‐Recapture: Implications for Small Populations and Nonrandom Mating3
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”3
WOMBAT v2.S: A Bayesian Inversion Framework for Attributing Global CO 2 Flux Components From Multiprocess Data3
3
Joint species distribution modeling with competition for space3
Long memory conditional random fields on regular lattices3
3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices3
The role of data science in environmental digital twins: In praise of the arrows3
3
Trends in Rainfall and Temperature in the Murray Mallee and Upper Eyre Peninsula Region of South Australia—Connections to Climate and Land Use Change3
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters3
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