Journal of Chemometrics

Aims & Scope

The Journal of Chemometrics is devoted to the rapid publication of original scientific papers, reviews and short communications on fundamental and applied aspects of chemometrics.

It also provides a forum for the exchange of information on meetings and other news relevant to the growing community of scientists who are interested in chemometrics and its applications.

Short, critical review papers are a particularly important feature of the journal, in view of the multidisciplinary readership at which it is aimed.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.1
2024	1.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.390

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	107

Journal Rank

Year	Value
2024	14046

Journal Citation Indicator

Year	Value
2024	375

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Chemistry and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Partial least squares for discrimination

  Citation: 2288

  Authors: Matthew, William

• Orthogonal projections to latent structures (O‐PLS)

  Citation: 1992

  Authors: Johan, Svante

• PLS regression methods

  Citation: 1515

  Authors: Agnar

• Statistical process monitoring: basics and beyond

  Citation: 1329

  Authors: S.

• OPLS discriminant analysis: combining the strengths of PLS‐DA and SIMCA classification

  Citation: 1188

  Authors: Max, Mattias, Olivier, Jeremy K., Elaine, Johan

• A new efficient method for determining the number of components in PARAFAC models

  Citation: 1057

  Authors: Rasmus, Henk A. L.

• An introduction to decision tree modeling

  Citation: 1006

  Authors: Anthony J., Robert N., Yang, Nathaniel A., Steven D.

• Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution

  Citation: 856

  Authors: Romà, Age, Bruce

• Genetic algorithms as a strategy for feature selection

  Citation: 711

  Authors: R., R., M.

• Partial least squares discriminant analysis: taking the magic away

  Citation: 664

  Authors: Richard G., Gavin R.

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