Metallurgical Research & Technology

SCI期刊
Metallurgical Research & Technology
中文名称:
冶金研究与技术
期刊缩写:
Metall. Res. Technol.
影响因子:
0.9
ISSN:
print: 2271-3646
on-line: 2271-3654
研究领域:
METALLURGY & METALLURGICAL ENGINEERING-
h-index:
20
自引率:
9.10%
Gold OA文章占比:
3.28%
原创研究文献占比:
100.00%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore)
期刊介绍英文:
Metallurgical Research and Technology (MRT) is a peer-reviewed bi-monthly journal publishing original high-quality research papers in areas ranging from process metallurgy to metal product properties and applications of ferrous and non-ferrous metals and alloys, including light-metals. It covers also the materials involved in the metal processing as ores, refractories and slags. The journal is listed in the citation index Web of Science and has an Impact Factor. It is highly concerned by the technological innovation as a support of the metallurgical industry at a time when it has to tackle severe challenges like energy, raw materials, sustainability, environment... Strengthening and enhancing the dialogue between science and industry is at the heart of the scope of MRT. This is why it welcomes manuscripts focusing on industrial practice, as well as basic metallurgical knowledge or review articles.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
1.70.2740.469
学科
排名
百分位
大类:Materials Science
小类:Metals and Alloys
92 / 176
48%
大类:Engineering
小类:Computational Mechanics
54 / 89
39%
大类:Engineering
小类:Mechanics of Materials
273 / 398
31%
大类:Materials Science
小类:Materials Chemistry
222 / 317
30%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
4区 材料科学
4区 冶金工程 METALLURGY & METALLURGICAL ENGINEERING
WOS期刊分区
学科分类
Q3METALLURGY & METALLURGICAL ENGINEERING
历年影响因子
2015年0.5000
2016年0.4140
2017年0.5740
2018年0.6410
2019年0.6460
2020年1.0350
2021年0.9460
2022年1.1000
2023年0.9000
历年发表
2013年1
2014年45
2015年46
2016年74
2017年101
2018年84
2019年136
2020年94
2021年102
2022年65
投稿信息
出版语言:
English
出版国家(地区):
FRANCE
接受率:
100%
审稿时长:
4.4 months
出版商:
EDP Sciences
编辑部地址:
17, AVE DU HOGGAR, PA COURTABOEUF, BP 112, LES ULIS CEDEX A, FRANCE, F-91944

Metallurgical Research & Technology - 最新文献

Prediction of hot metal temperature in a blast furnace iron making process using multivariate data analysis and machine learning methodology

Pub Date : 2023-01-01 DOI: 10.1051/metal/2023073 Arun Kumar, Ashish Agrawal, Ashok Kumar, Sunil Kumar

Distribution behavior and deportation of arsenic in copper top-blown smelting process

Pub Date : 2023-01-01 DOI: 10.1051/metal/2023065 Wenlei Jia, Bo Li, Shiwei Zhou, Yonggang Wei, Hua Wang

Numerical study of influence of mould width on freestanding adjustable combination electromagnetic brake in continuous casting mould

Pub Date : 2023-01-01 DOI: 10.1051/metal/2023066 Zhuang Li, Lintao Zhang, Engang Wang
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