This journal publishes research on the application of computational methods, including machine learning and deep learning, to ecological and environmental data. Topics include automated annotation of biological signals, analysis of disturbance and recovery in ecosystems, geodiversity assessment, species detection, crop yield forecasting, habitat suitability modeling, ecosystem monitoring, and biodiversity data management. The research often involves processing diverse data types such as satellite imagery, sensor data, audio recordings, and field surveys.
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Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Applied MathematicsQ1
Computational Theory and MathematicsQ1
Computer Science ApplicationsQ1
Ecological ModelingQ1
EcologyQ1
Ecology, Evolution, Behavior and SystematicsQ1
Modeling and SimulationQ1
Subject Classification
Web of Science Categories
Ecology
Scopus Categories
Applied MathematicsEcological ModelingComputer Science ApplicationsEcology, Evolution, Behavior and SystematicsComputational Theory and MathematicsEcologyModeling and Simulation
Research Topics (OpenAlex)
Species Distribution and Climate ChangeRemote Sensing in AgricultureLand Use and Ecosystem ServicesEcology and Vegetation Dynamics StudiesWildlife Ecology and ConservationRemote Sensing and LiDAR ApplicationsAnimal Vocal Communication and BehaviorFish Ecology and Management StudiesMarine animal studies overviewPlant and animal studies