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Anti-Corrosion Methods and Materials
基本信息
期刊名称 Anti-Corrosion Methods and Materials
ANTI-CORROS METHOD M
期刊ISSN 0003-5599
期刊官方网站 https://www.emerald.com/insight/publication/issn/0003-5599
是否OA No
出版商 Emerald Publishing
出版周期 Bimonthly
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始发年份
年文章数 70
影响因子 2.3(2023)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术4区 METALLURGY & METALLURGICAL ENGINEERING 冶金工程4区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 2.8 0.365 0.636
Chemical Engineering
General Chemical Engineering
152/273 44%
Materials Science
General Materials Science
282/463 39%
补充信息
自引率 43.5%
H-index 29
SCI收录状况 Science Citation Index Expanded
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PubMed Central (PMC) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0003-5599%5BISSN%5D
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Anti-Corrosion Methods and Materials (ACMM) is a peer-reviewed journal that focuses on the scientific and engineering aspects of corrosion prevention and control. The journal publishes high-quality research articles, review papers, and technical notes that contribute to the understanding of fundamental corrosion science problems and applied corrosion engineering issues. ACMM covers a broad range of topics related to corrosion prevention and control, including materials selection and design, coatings and surface treatments, monitoring and assessment techniques, and case studies and best practices. By providing a platform for the exchange of knowledge and ideas, ACMM seeks to advance corrosion research and interdisciplinary studies to promote the development of sustainable and cost-effective solutions to this critical problem.

Corrosion prevention and mitigation techniques
Materials selection and design for better corrosion resistance
Coatings, paints, and surface treatments for corrosion protection
Corrosion monitoring and assessment methods
Corrosion in specific industries, such as oil and gas, automotive, aerospace, and marine
Corrosion in specific environments, such as aqueous, acidic, and high-temperature environments
Bio-corrosion, including microbiologically induced corrosion and biomaterials corrosion
Highly effective corrosion inhibitors
Case studies and best practices in corrosion prevention and control
Machine learning and advanced big data technology in corrosion
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