verified SJR 0,654 · Q2 • database Scopus / SJR & Web of Science indexed

Netherlands · Elsevier B.V.

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Chemometrics and Intelligent Laboratory Systems

Chemometrics and Intelligent Laboratory Systems is a journal indexed in SJR in Analytical Chemistry and Software with an H index of 150. It has an SJR impact factor of 0,654 and it has a best quartile of Q2. It is published in English. It has an SJR impact factor of 0,654.

ISSN: 0169-7439

Publisher: Elsevier B.V.

Category: Analytical Chemistry

Indexation: verifiedScopus / SJR verifiedWeb of Science

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schedule CountryOfPapers database fields

SJR Impact Factor trending_up

0,654 Q2

H-index 150

Acceptance rate pie_chart

22% Selective

Source Acceptance_Rate

Time to publication hourglass_top

NPD

Field NPD

Publication cost (APC) payments

NPD Subscription

Non-OA path NPD

Metrics

Scimago and CountryOfPapers database fields

Scopus / SJR Web of Science

SJR Impact

0,654

H-index

150

Docs (year)

150

Docs 3y

538

Total refs

6545

Cites 3y

2385

Citable 3y

537

Cites/Doc 2y

4.55

Ref/Doc

43.63

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

Application of latent root regression for calibration in near-infrared spectroscopy. Comparison with principal component regression and partial least squares

Visualization of particle size and shape distributions using self-organizing maps

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

Cyclic subspace regression with analysis of wavelength-selection criteria

Comparison of two recently proposed expressions for partial least squares regression prediction error

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

Combining nonlinear PLS with the numeric genetic algorithm for QSAR

Chemometrics: Experimental design

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

Chemometrical approach to the determination of the fractal dimension(s) of real objects

Chemometric investigation on structural changes in pine kraft lignin during pulping

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

SHOW MORE ARTICLES

Artificial neural networks in classification of NIR spectral data: Selection of the input

3D-QSAR study of insecticidal neonicotinoid compounds based on 3-way partial least squares model

Adaptive resonance theory based neural network for supervised chemical pattern recognition (FuzzyARTMAP) Part 2: Classification of post-consumer plastics by remote NIR spectroscopy using an InGaAs diode array

A study on the applicability on multicomponent calibration methods in chemometrics

A structural approach for smoothing noisy peak-shaped analytical signals

A simple method for linearizing nonlinear spectra for calibration

A new method of detecting clustering in the data

A new approach to a complete robustness test of experimental nominal conditions of chemical testing procedures for internal analytical quality assessment

A multivariate investigation of the effect of the hormone leptin on body weight reduction

A hybrid of simplex method and simulated annealing

A generalized regression neural network and its application for leaf wetness prediction to forecast plant disease

A comparison of deconvolution methods as applied to high performance liquid chromatography-diode array detector-electrospray mass spectrometry of 2- and 3-hydroxypyridine at varying pH in the presence of severely tailing peak shapes

FAQs

Chemometrics and Intelligent Laboratory Systems has an SJR of 0,654 (best quartile Q2) in the CountryOfPapers database.

Immediate OA APC is not available (NPD).

The acceptance rate recorded for Chemometrics and Intelligent Laboratory Systems is 22%.

Chemometrics and Intelligent Laboratory Systems

Metrics

Name good journals. Call out predatory ones.

Researcher reviews

Best articles by citations

FAQs

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