ISSN: 0169-7439
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Chemometrics and Intelligent Laboratory Systems Q1 Unclaimed
Chemometrics and Intelligent Laboratory Systems is a journal indexed in SJR in Analytical Chemistry and Software with an H index of 132. It has an SJR impact factor of 0.733 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 0.733.
Type: Journal
Type of Copyright:
Languages: English
Open Access Policy:
Type of publications:
Publication frecuency: -


- €
Inmediate OANPD
Embargoed OA- €
Non OAMetrics
0.733
SJR Impact factor132
H Index172
Total Docs (Last Year)536
Total Docs (3 years)7504
Total Refs2267
Total Cites (3 years)532
Citable Docs (3 years)4.22
Cites/Doc (2 years)43.63
Ref/DocOther journals with similar parameters
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Aims and Scope
Best articles by citations
Determination of the capability of detection of a hyphenated method: application to spectroelectrochemistry
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View moreQuantitative structure-activity relationships study of herbicides using neural networks and different statistical methods
View moreData augmentation: an alternative approach to the analysis of spectroscopic data
View moreQuantitative structure-retention relationships
View moreComparison of several computational procedures for evaluating the kinetics of thermally stimulated condensed phase reactions
View moreNonlinear smoothers in two dimensions for environmental data
View moreVariable selection for neural networks in multivariate calibration
View moreModelling of solute retention in the reversed-phase high-performance liquid chromatography system with the chemically bonded 3-cyanopropyl stationary phase
View moreA study on the applicability on multicomponent calibration methods in chemometrics
View moreTowards an expert system for enantioseparations: induction of rules using machine learning
View moreChemometric investigation on structural changes in pine kraft lignin during pulping
View moreA hybrid of simplex method and simulated annealing
View moreChemometrical approach to the determination of the fractal dimension(s) of real objects
View morePerformance of multi layer feedforward and radial base function neural networks in classification and modelling
View moreChemometrically assisted simultaneous separation of 21 aromatic sulfonates in ion-interaction RP-HPLC
View moreBottom water formation in the Weddell Sea resolved by principal component analysis and target estimation
View moreThe state of multivariate thinking for scientists in industry: 1980-2000
View moreChemometrics: Experimental design
View moreA new method of detecting clustering in the data
View moreRobust back propagation algorithm as a chemometric tool to prevent the overfitting to outliers
View moreOptimal experimental designs for (possibly) censored data
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