Environmental and Ecological Statistics

Papers
(The TQCC of Environmental and Ecological Statistics 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 2021-04-01 to 2025-04-01.)
ArticleCitations
The imperativeness of biomass energy consumption to the environmental sustainability of the United States revisited97
A multi-dimensional non-homogeneous Markov chain of order K to jointly study multi-pollutant exceedances62
Authors’ Rejoinder (in response to the Letter to the Editor by Papadopoulos A and Parmeter CF)56
Research on hybrid electricity demand forecasting system based on sunflower optimization and completely non-recursive decomposition strategy33
Testing environmental effects on taxonomic composition with canonical correspondence analysis: alternative permutation tests are not equal32
Modelling multivariate data using product copulas and minimum distance estimators: an exemplary application to ecological traits31
Design-based spatial interpolation with data driven selection of the smoothing parameter24
Model-based entropy estimation for data with covariates and dependence structures19
No lasting effects of a severe drought event on plant community composition in experimental grassland16
Modeling and indexing drought severity with multi-modal ground temperature data14
Functional principal component analysis for incomplete space–time data11
Joint multivariate and functional modeling for plant traits and reflectances10
The wrapped XLindley distribution9
A varying-coefficient regression approach to modeling the effects of wind speed on the dispersion of pollutants8
Is globalisation linked to CO2 emission? Evidence from OECD nations8
Calibrated EMOS: applications to temperature and wind speed forecasting8
A mathematical model with uncertainty quantification for allelopathy with applications to real-world data8
A novel hybrid approach based on outlier and error correction methods to predict river discharge using meteorological variables6
A simple and robust approach to Bayesian modelling of overdispersed data6
Identifying key drivers of extinction for Chitala populations: data-driven insights from an intraguild predation model using a Bayesian framework6
High spatial resolution IoT based air PM measurement system6
Correction: A pre‑whitening with block‑bootstrap cross‑correlation procedure for temporal alignment of data sampled by eddy covariance systems6
A frequentist approach on fixed effects estimation for spatially confounded regression models5
A likelihood ratio test for circular multimodality5
Non-separable spatio-temporal Poisson point process models for fire occurrences5
An accumulation rate curve estimator for total species5
The effect of financial development and economic growth on ecological footprint in Azerbaijan: an ARDL bound test approach with structural breaks5
Parameter estimation and model selection for stochastic differential equations for biological growth5
Are the income and price elasticities of economy-wide electricity demand in middle-income countries time-varying? Evidence from panels and individual countries4
Enhancing seasonal streamflow prediction using multistage hybrid stochastic data-driven deep learning methodology with deep feature selection4
Guest Editorial of ICEEE-2020 EEST special issue4
Arbitrarily shaped spatial cluster detection via reinforcement learning algorithms4
A novel hierarchical carbon price forecasting model with local and overall perspectives4
A calibration method for projecting future extremes via a linear mapping of parameters4
An accuracy assessment of three forest cover databases in Colombia4
Functional and variables selection in extreme value models for regional flood frequency analysis3
How should surface elevation table data be analyzed? A comparison of several commonly used analysis methods and one newly proposed approach3
Tests for aggregated dispersion: Van Valen’s test and a new competitor3
Health effects of noise and application of machine learning techniques as prediction tools in noise induced health issues: a systematic review3
Modeling wildland fire burn severity in California using a spatial Super Learner approach3
A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation3
Revisiting the carbon emissions hypothesis in the developing and developed countries: a new panel cointegration approach3
Markov regression model for analyzing big data to predict trajectories of repeated categorical outcomes: an application to $$\hbox {PM}_{2.5}$$ air pollution data3
Special issue on modelling complex environmental data3
New methods of life expectancy estimation3
Letter to the editor3
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