OOIR: Observatory of International Research

Papers

(The TQCC of Environmental and Ecological Statistics is 4. 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.)

Article	Citations
A varying-coefficient regression approach to modeling the effects of wind speed on the dispersion of pollutants	113
Modeling and indexing drought severity with multi-modal ground temperature data	41
A frequentist approach on fixed effects estimation for spatially confounded regression models	16
A multi-dimensional non-homogeneous Markov chain of order K to jointly study multi-pollutant exceedances	14
Are the income and price elasticities of economy-wide electricity demand in middle-income countries time-varying? Evidence from panels and individual countries	13
The wrapped XLindley distribution	13
Predicting bird species detection in avian ecology using machine learning models, environmental factors, and tree characteristics	13
An accuracy assessment of three forest cover databases in Colombia	10
Fast estimation and choice of confidence interval methods for step regression	9
Spatio-temporal joint modelling on moderate and extreme air pollution in Spain	9
Enhancing seasonal streamflow prediction using multistage hybrid stochastic data-driven deep learning methodology with deep feature selection	9
Financialization and environmental policy as drivers of environmental technology in OECD economies	9
Measuring differences in efficiency in waste collection and disposal services from the EU targets in Campania municipalities	8
Estimating effects of ocean environmental conditions on summer flounder (Paralichthys dentatus) distribution	8
A direct approach of causal detection for agriculture related variables via spatial and temporal non-parametric analysis	8
Pivotal discrepancy measures for Bayesian modelling of spatio-temporal data	7
A comparison of statistical and machine learning models for spatio-temporal prediction of ambient air pollutant concentrations in Scotland	7
Estimating wild boar density in hunting areas by a probabilistic sampling of drive counts	7
Markov-switching models for heat wave detection and projection in Friuli Venezia Giulia, Italy	7
Correction to: Parameterizing Lognormal state space models using moment matching	7
Bayesian spatio-temporal model with INLA for dengue fever risk prediction in Costa Rica	6
Discrete Beta and Shifted Beta-Binomial models for rating and ranking data	6
Occupancy models with autocorrelated detection heterogeneity	6
Effects of choice of baseline on the uncertainty of population and biodiversity indices	6
New insights into the main meteorological factors affecting mosquito densities: time lags, interaction effects, and species specificity	6

Cost-to-coast: space–time modeling of coast defense funds and environmental drivers in Italy	5
Exploring the effects of temperature on demersal fish communities in the Central Mediterranean Sea using INLA-SPDE modeling approach	5
How should surface elevation table data be analyzed? A comparison of several commonly used analysis methods and one newly proposed approach	5
A hierarchical Bayesian model to monitor pelagic larvae in response to environmental changes	5
A bimodal model for extremes data	5
Some efficient closed-form estimators of the parameters of the generalized Pareto distribution	5
Non-separable spatio-temporal Poisson point process models for fire occurrences	5
Parameter estimation and model selection for stochastic differential equations for biological growth	5
An accumulation rate curve estimator for total species	5
Arbitrarily shaped spatial cluster detection via reinforcement learning algorithms	5
Estimating change in annual timber products output using a stratified sampling with certainty design	4
Correction: Innovation, foreign direct investment (FDI), and the energy–pollution–growth nexus in OECD region: a simultaneous equation modeling approach	4
Atmospheric NO2 concentration prediction with statistical and hybrid deep learning methods	4
Revisiting the carbon emissions hypothesis in the developing and developed countries: a new panel cointegration approach	4
Inference and model determination for temperature-driven non-linear ecological models	4
Strategies for exploiting auxiliary information and achieving spatial balance in environmental surveys	4
Study on changes of urban spatial pattern and heterogeneity of driving factors in the Su-Xi-Chang region	4
Machine learning-based mapping of indoor radon potential using geogenic factors	4
Bayesian mixed effect models to account for environmental modulators of acute malnutrition treatment in children	4