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Measurement
基本信息
期刊名称 | Measurement MEASUREMENT |
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期刊ISSN | 1536-6367 |
期刊官方网站 | https://www.sciencedirect.com/journal/measurement |
是否OA | No |
出版商 | Taylor and Francis Ltd. |
出版周期 | Bimonthly |
文章处理费 | 登录后查看 |
始发年份 | |
年文章数 | 1467 |
影响因子 | 5.2(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 |
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工程技术3区 | ENGINEERING, MULTIDISCIPLINARY 工程:综合3区 | 否 | 否 |
INSTRUMENTS & INSTRUMENTATION 仪器仪表3区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 1.8 | 0.327 | 0.528 |
Social Sciences Education |
843/1543 | 45% |
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Mathematics Statistics and Probability |
154/278 | 44% |
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Mathematics Applied Mathematics |
382/635 | 39% |
补充信息
自引率 | 11.5% |
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H-index | 70 |
SCI收录状况 | Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
PubMed Central (PMC) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0263-2241%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.editorialmanager.com/MEAS |
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收稿范围 | Journal of the International Measurement Confederation (IMEKO) Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material representing achievements in the field, whose ultimate goal is an enhancement of the state-of-the-art of subjects such as: measurement and metrology fundamentals, measurement science, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures for performance analysis of measurement systems, processes and algorithms, mathematical models for measurement-oriented purposes, and distributed measurement systems in a connected world. Notes: Papers including measurement results that, although important to validate any given scientific study but which offer no new insights in an area different from measurement science or technology, do not fall within the scope of this journal; The disciplined usage of well-known metrological terms is strongly required. Authors can access information on all relevant terms such as measurement accuracy, uncertainty, the law of propagation of uncertainty and other, similar terms: these are defined in internationally approved guidelines such as the International Vocabulary of Metrology (VIM) and Guide to the Expression of Uncertainty in Measurement (GUM), which are freely available on https://www.bipm.org/en/publications/guides/; The paper must clearly describe the measurement context in which the research was carried out by undertaking a critical review of the state-of-the-art of the relevant body of knowledge in instrumentation and measurement and by showing how the research presented advances it; The letter accompanying the submission must describe clearly how the paper satisfies the above requirements. Papers that focus on image processing or fault diagnosis with little or no elements of measurement science or technology will not be considered within the journal scope. Authors please note: The journal Measurement is receiving an increasing number of papers in the area of machine learning/neural networks and other techniques based on artificial intelligence. These submissions will be desk rejected unless they: prove that the described research advances the state-of-the-art in measurement science and is not just an application of an available tool to known or novel problems, that is used without an appreciation of measurement-related aspects; show that the usage of these tools is put into the correct measurement-related context and not just in the context of machine-learning/neural network applications; contain enough information about the used tools, data, and results to allow, in principle, anyone to replicate the described results; display the use of specific metrics to strengthen the results of research activities. It must be recalled that Measurement is interested in publishing new methods, techniques, procedures, algorithms, and alike that show how to better measure in nature and in the world. Thus, the capability to describe metrological-related details of the proposed research represents a major difference between papers published by this journal and by other journals publishing papers on similar topics. This major difference must be evident also in papers covering applications of machine learning and soft computing techniques. Failing to adhere to these guidelines will result in a paper desk-reject decision. Authors whose manuscripts focus on the research, development and application of the science, engineering and technology of sensors and sensor systems, are welcome to submit to the journal's open access companion title, Measurement: Sensors. Authors whose manuscripts focus on food and nutrition measurements may also wish to submit to the journal's second open access companion title, Measurement: Food. |
收录体裁 | original research papers, reviews, letters and short communications |
投稿指南 | https://www.sciencedirect.com/journal/measurement/publish/guide-for-authors |
投稿模板 | |
参考文献格式 | https://www.elsevier.com/journals/measurement/0263-2241/guide-for-authors |
编辑信息 |
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