ISSN: 0169-7439

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Chemometrics and Intelligent Laboratory Systems Q2 Unclaimed

Elsevier Netherlands

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Chemometrics and Intelligent Laboratory Systems is a journal indexed in SJR in Analytical Chemistry and Software with an H index of 126. It has an SJR impact factor of 0,6 and it has a best quartile of Q2. It is published in English. It has an SJR impact factor of 0,6.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Analytical Chemistry (Q2) Computer Science Applications (Q2) Process Chemistry and Technology (Q2) Software (Q2) Spectroscopy (Q2)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

0,6

SJR Impact factor

126

H Index

209

Total Docs (Last Year)

522

Total Docs (3 years)

9022

Total Refs

1977

Total Cites (3 years)

517

Citable Docs (3 years)

3,59

Cites/Doc (2 years)

43,17

Ref/Doc

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Aims and Scope

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Determination of the capability of detection of a hyphenated method: application to spectroelectrochemistry

Numerical processing of wavelength-dispersive X-ray fluorescence spectra

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Prediction-weighted partial least-squares regression method (PWPLS)

Quantitative structure-activity relationships study of herbicides using neural networks and different statistical methods

Data augmentation: an alternative approach to the analysis of spectroscopic data

Quantitative structure-retention relationships

Comparison of several computational procedures for evaluating the kinetics of thermally stimulated condensed phase reactions

Nonlinear smoothers in two dimensions for environmental data

Variable selection for neural networks in multivariate calibration

Modelling of solute retention in the reversed-phase high-performance liquid chromatography system with the chemically bonded 3-cyanopropyl stationary phase

A study on the applicability on multicomponent calibration methods in chemometrics

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A hybrid of simplex method and simulated annealing

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Performance of multi layer feedforward and radial base function neural networks in classification and modelling

Chemometrically assisted simultaneous separation of 21 aromatic sulfonates in ion-interaction RP-HPLC

Bottom water formation in the Weddell Sea resolved by principal component analysis and target estimation

The state of multivariate thinking for scientists in industry: 1980-2000

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A new method of detecting clustering in the data

Robust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers

Optimal experimental designs for (possibly) censored data