Ecological Informatics

An International Journal on Ecoinformatics and Computational Ecology

Ecological Informatics - ISSN 1574-9541
Source Normalized Impact per Paper (SNIP): 0.993 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.734 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 2.02 (2016) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 2.29 (2016) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volumes 43-48
Issues: 6 issues
ISSN: 15749541

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Description



The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of ecoinformatics, computational ecology, biogeography and systems ecology. The scope of the journal takes into account the data-intensive nature of ecology, the precious information content of ecological data, the growing capacity of computational technology to leverage complex data as well as the critical need for informing sustainable management in spite 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, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.



The journal invites papers on:
• novel concepts and tools for monitoring, acquisition, management, analysis and synthesis of ecological data, including genomic and paleo-ecological data,
• understanding ecosystem functioning and evolution, and
• informing decisions on environmental issues like sustainability, climate change and biodiversity.