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 2022-05-01 to 2026-05-01.)
ArticleCitations
114
Spatio‐Temporal Analysis of Extreme PM2.5 Levels in Taiwan30
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms23
Nonlinear prediction of functional time series22
Spatiotemporal Magnitude Classification: A New Approach Using a Graph Convolution LSTM Model14
Catalysing virtual collaboration: The experience of the remote TIES working groups14
Estimation of Parameters in Inhomogeneous Neyman‐Scott Processes Using Presence/Absence Data13
2023 Editorial Collaborators13
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Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes12
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure11
An illustration of model agnostic explainability methods applied to environmental data11
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Issue Information10
Issue Information9
Clustering of bivariate satellite time series: A quantile approach9
Analyzing Inter‐Hemispheric Climate Change Asymmetries With a Cointegrated Vector Autoregression9
Issue Information9
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects9
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models8
A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data8
Assessing predictability of environmental time series with statistical and machine learning models8
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas8
Enhancing the Accuracy of Spatio‐Temporal Models for Wind Speed Prediction by Incorporating Bias‐Corrected Crowdsourced Data8
A Bayesian framework for studying climate anomalies and social conflicts8
Uncertainty: Nothing is more certain8
Accounting for Missing Data When Modelling Block Maxima8
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields8
Issue Information7
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data6
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression6
Emulation of greenhouse‐gas sensitivities using variational autoencoders6
Issue Information6
Statistical Inference for Natural Resources and Biodiversity6
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data6
Issue Information6
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A double fixed rank kriging approach to spatial regression models with covariate measurement error6
Record events attribution in climate studies6
Issue Information6
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Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications6
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
Correction to “Estimation of Impact Ranges for Functional Valued Predictors”5
Practical strategies for generalized extreme value‐based regression models for extremes5
REDS: Random ensemble deep spatial prediction5
CO2has significant implications for hourly ambient temperature: Evidence from Hawaii5
Structural equation models for simultaneous modeling of air pollutants5
Estimation of change with partially overlapping and spatially balanced samples5
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach5
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Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model5
Stochastic tropical cyclone precipitation field generation5
Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score5
Non‐Stationarities in Extreme Hourly Precipitation Over the Piave Basin, Northern Italy5
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment5
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires5
A Matsuoka‐Based GARMA Model for Environmental and Energy Systems: Theory, Estimation, and Applications4
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems4
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression4
4
Detection of anomalous radioxenon concentrations: A distribution‐free approach4
A Multivariate Space‐Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt. Pinatubo Eruption4
Semiparametric Approaches for Mitigating Spatial Confounding in Large Environmental Epidemiology Cohort Studies4
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures4
Using Expected Improvement of Gradients for Robotic Exploration of Ocean Salinity Fronts4
Environmental data science: Part 14
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data4
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data4
Comparing emulation methods for a high‐resolution storm surge model4
Intersection between environmental data science and the R community in Latin America4
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data4
Improving and Evaluating Resistant Alternatives to Procrustes Analysis for Multivariate Dataset Matching4
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Framing data science, analytics and statistics around the digital earth concept3
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”3
The role of data science in environmental digital twins: In praise of the arrows3
New generalized extreme value distribution with applications to extreme temperature data3
Joint species distribution modeling with competition for space3
Generalized Additive Model With Dynamic Coefficients for Spatiotemporal Ozone Predictions3
Simulation‐Based Inference for Close‐Kin Mark‐Recapture: Implications for Small Populations and Nonrandom Mating3
What Seismic Phase is L'Aquila in Fifteen Years After the Mw6.1 Earthquake of April 6, 2009?3
The scope of the Kalman filter for spatio‐temporal applications in environmental science3
WOMBAT v2.S: A Bayesian Inversion Framework for Attributing Global CO 2 Flux Components From Multiprocess Data3
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A Dynamic Model for Extreme Hourly Precipitation3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices3
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression3
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