2021年最新SCI期刊影响因子查询系统
ECOLOGICAL INDICATORS 期刊详细信息
基本信息
期刊名称 | ECOLOGICAL INDICATORS ECOLOGICAL INDICATORS |
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期刊ISSN | 1470-160X |
期刊官方网站 | http://www.journals.elsevier.com/ecological-informatics/ |
是否OA | 否 |
出版商 | Elsevier |
出版周期 | Quarterly |
始发年份 | 2006 |
年文章数 | 100 |
最新影响因子 | 6.263(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
---|---|---|---|
环境科学与生态学3区 | ECOLOGY 生态学4区 | 否 | 否 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 2.55 | 0.790 | 0.982 |
Environmental Science Ecological Modelling |
9 / 30 | 71% |
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Computer Science Computational Theory and Mathematics |
20 / 113 | 82% |
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Mathematics Modelling and Simulation |
43 / 259 | 83% |
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Mathematics Applied Mathematics |
49 / 460 | 89% |
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Environmental Science Ecology |
67 / 336 | 80% |
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Agricultural and Biological Sciences Ecology, Evolution, Behavior and Systematics |
111 / 591 | 81% |
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Computer Science Computer Science Applications |
166 / 569 | 70% |
补充信息
自引率 | 5.70% |
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H-index | 36 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1574-9541%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.evise.com/evise/faces/pages/login/login.jspx?resourceUrl=%2Ffaces%2Fpages%2Fnavigation%2FNavController.jspx%3FJRNL_ACR%3DECOINF%26 |
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收稿范围 | 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. The journal invites papers on: • novel concepts and tools for monitoring, acquisition, management, analysis and synthesis of ecological data, including eco-acoustics, eco-genomics, machine and deep learning, Bayesian inference, species distribution modelling, • understanding and forecasting ecosystem functioning and evolution, and • informing decisions on environmental issues like sustainability, climate change and biodiversity |
收录体裁 | Review Papers Original Research Papers and case studies Special themed issues (only to be submitted after prior consultation with the Editor in Chief) Short Notes Letters to the Editor Viewpoint articles (invited) Book Reviews |
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参考文献格式 | |
编辑信息 |