Measurement

Measurement 由 Elsevier 出版，属中科院工程技术大类（2025 升级版2区）。按 OpenAlex 近年发文统计，该刊主要发表 Machine Fault Diagnosis Techniques、Structural Health Monitoring Techniques、Optical measurement and interference techniques 等主题的论文，这 3 个主题约占 23%，主导子领域为 Mechanical Engineering。（根据 OpenAlex 主题统计与中科院分区数据生成）

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.Papers that are based on military applications are out of scope for the Journal and are not considered for publication in measurement.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 ac

摘自期刊官网 Aims & Scope

研究方向（LetPub）：工程技术-工程：综合

主编 Paolo Carbone出版商官网

编委会国家分布：中国大陆 48 位（约 30%）；主要国家 中国 48、意大利 21、美国 16、印度 13、英国 12（共 158 位编委标注了国家） 编委会 ↗出版商官网 · 2026-10-01

中科院期刊分区表

数据库收录

SCIEScopusLetPub

国际期刊预警名单：各版本均未列入LetPub

不同版本、大类与小类分别展示，不将不同评价口径合并为一个分区值；投稿与考核前请确认所在机构采用的版本。

影响力指标

影响因子

6.07LetPub · 2026-09-13

影响因子（出版商公布）

6.1出版商官网 · 2026-10-01

CiteScore 2026-06

10.2LetPub · 2026-09-13

CiteScore（出版商公布）

10.2出版商官网 · 2026-10-01

SJR 2026-06

1.15LetPub · 2026-09-13

SNIP 2026-06

1.85LetPub · 2026-09-13

h-index

70LetPub · 2026-09-13

h-index

175OpenAlex · 2026-10-01

i10-index

10,998OpenAlex · 2026-10-01

两年平均被引

5.22OpenAlex · 2026-10-01

自引率

13.1%LetPub · 2026-09-13

Gold OA 文章占比

11.82%LetPub · 2026-09-13

发文规模

年文章数

3,166LetPub · 2026-09-13

不同来源的统计口径与观测时间不同，页面保留各来源原值；“出版商公布”为期刊官网自述数据。

各来源数据

平均审稿速度（社区反馈）

期刊官网数据：平均Submission to first decision: 5 days; Submission to decision after review: 62 days; Submission to acceptance: 147 days; Acceptance to online publication: 7 days;网友分享经验：平均3.8个月LetPub · 2026-09-13

平均录用比例（社区反馈）

33%LetPub · 2026-09-13

投稿到首次决定

7 天出版商官网 · 2026-10-01

外审后首次决定

57 天出版商官网 · 2026-10-01

投稿到接收

126 天出版商官网 · 2026-10-01

接收到发表

3 天出版商官网 · 2026-10-01

评审方式

双盲同行评审出版商官网

社区反馈来自投稿者样本，置信度 0.5，不代表期刊承诺；“出版商公布”的时间节点定义以官网为准。

混合期刊的文章处理费仅在作者选择开放获取发表时收取；按订阅方式发表通常不收费。

费用以期刊官网为准；不同来源的观测时间可能不同，页面保留各来源原值，不做平均。

摘录来自期刊官网页面，仅保留原文片段；“模型摘要”由 Workers AI 生成并经原文校验，以官网为准。

出版商

Elsevier

出版国家或地区

ENGLAND

出版语言

English

出版周期

Bimonthly

ISSN

0263-2241

电子版 ISSN

1873-412X

官方链接

• 期刊主页 ↗OpenAlex
• 投稿系统 ↗LetPub
• 作者指南 ↗LetPub
• 专刊 / 特刊征稿 ↗出版商官网