Environmetrics

Aims & Scope✦ Inferred from recent articles

This journal publishes research on statistical and environmental modeling, with a focus on the analysis of spatio-temporal data. Articles frequently address the quantification and prediction of environmental risks and phenomena, including climate change impacts, air quality, natural hazards like earthquakes and wildfires, and ecological processes. Methodologies often involve advanced statistical techniques such as Gaussian processes, extreme value theory, Bayesian inference, and machine learning applied to diverse environmental datasets.

AI-summarised from recent articles · verify on publisher page →

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification