Ecological Informatics

SJR Rank #1,803H-index: 101SJR: 1.770Best quartile: Q1Open AccessAPC: US$2,770Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

Elsevier B.V.

Country

Netherlands

Type

journal

SJR by Edition

2022202500.450.91.351.8

Subject Categories

  • Applied MathematicsQ1
  • Computational Theory and MathematicsQ1
  • Computer Science ApplicationsQ1
  • Ecological ModelingQ1
  • EcologyQ1
  • Ecology, Evolution, Behavior and SystematicsQ1
  • Modeling and SimulationQ1

Areas: Agricultural and Biological Sciences · Computer Science · Environmental Science · Mathematics

Most published research topics

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 overviewSmart Agriculture and AI

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs035070010501400

Documents per Year

202220250150300450600

Detailed Information

ISSN

1574-9541

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

9.60

References per Document

77.95

Coverage

2006-2026

Scope

The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.

Metrics from SCImago Journal Rank 2025. View on SCImago