Stochastic Environmental Research and Risk Assessment

Aims & Scope

Stochastic Environmental Research and Risk Assessment (SERRA) publishes research papers, reviews and technical notes on stochastic (i.e., probabilistic and statistical) approaches to environmental sciences and engineering, including the quantitative description, modelling and prediction of the spatiotemporal evolution of natural and engineered systems under conditions of uncertainty. Topics of interest include risk assessment, interactions of terrestrial and atmospheric environments with people and the ecosystem, and environmental health. The core aim of the journal is to bring together theoretical and applied research with a stochastic dimension in various fields of environmental, planetary and health sciences and engineering, providing an interdisciplinary forum for the exchange of ideas and for communicating on issues that cut across disciplinary barriers. Contributions may cover theoretical probabilistic / statistical modelling approaches (including geostatistics and spatial statistics), and their applications in various fields of science and engineering.

A twelfth criterion — whether APC fees are clearly disclosed — is not scored here; it is left out of the total rather than counted as a failure. Publication charges appear in the metrics card above.

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