Chemometrics and Intelligent Laboratory Systems

SJR Rank #9,697H-index: 157SJR: 0.608Best quartile: Q2APC: US$3,970
Journal website: aims, scope and author guidelines
Publisher

Elsevier B.V.

Country

Netherlands

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • Analytical ChemistryQ2
  • Computer Science ApplicationsQ2
  • Process Chemistry and TechnologyQ2
  • SoftwareQ2
  • SpectroscopyQ2

Areas: Chemical Engineering · Chemistry · Computer Science

Most published research topics

Spectroscopy and Chemometric AnalysesFault Detection and Control SystemsAnalytical Chemistry and ChromatographyAdvanced Chemical Sensor TechnologiesSpectroscopy Techniques in Biomedical and Chemical ResearchWater Quality Monitoring and AnalysisComputational Drug Discovery MethodsHuman auditory perception and evaluationDiverse Scientific and Economic StudiesAdvanced Statistical Methods and Models

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0150300450600

Documents per Year

20222025050100150200

Detailed Information

ISSN

0169-7439, 1873-3239

SJR Best Quartile

Q2

Region

Western Europe

Citations per Document (2 years)

4.14

References per Document

46.24

Coverage

1986-2026

Scope

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.

Metrics from SCImago Journal Rank 2025. View on SCImago