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期刊名
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
CHEMOMETR INTELL LAB
ISSN / eISSN
0169-7439 / 1873-3239
目标和范围
Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines.
Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data.
The journal deals with the following topics:
1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.)
2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered.
3) Development of new software that provides novel tools or truly advances the use of chemometrical methods.
4) Well characterized data sets to test performance for the new methods and software.
The journal complies with International Committee of Medical Journal Editors' Uniform requirements for manuscripts.
Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data.
The journal deals with the following topics:
1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.)
2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered.
3) Development of new software that provides novel tools or truly advances the use of chemometrical methods.
4) Well characterized data sets to test performance for the new methods and software.
The journal complies with International Committee of Medical Journal Editors' Uniform requirements for manuscripts.
研究方向
自动化与控制系统
分析化学
计算机：人工智能
CiteScore
7.50
查看趋势图
CiteScore 学科排名
| 类别 | 分区 | 排名 |
|---|---|---|
| Chemistry - Spectroscopy | Q1 | #13/76 |
| Chemistry - Analytical Chemistry | Q1 | #33/156 |
| Chemistry - Computer Science Applications | Q1 | #178/817 |
| Chemistry - Software | Q1 | #99/407 |
| Chemistry - Process Chemistry and Technology | Q2 | #23/73 |
Web of Science 核心收藏夹
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| 类别 (Journal Citation Reports 2024) | 分区 |
|---|---|
| AUTOMATION & CONTROL SYSTEMS | Q2 |
| CHEMISTRY, ANALYTICAL | Q2 |
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q2 |
| INSTRUMENTS & INSTRUMENTATION | Q1 |
| MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | Q1 |
| STATISTICS & PROBABILITY | Q1 |
H-index
109
出版国家或地区
NETHERLANDS
出版商
Elsevier
出版周期
Bimonthly
出版年份
1986
年文章数
186
Open Access
NO
通讯方式
ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE
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