| Kohonen and counterpropagation artificial neural networks in analytical chemistry J Zupan, M Novič, I Ruisánchez Chemometrics and intelligent laboratory systems 38 (1), 1-23, 1997 | 339 | 1997 |
| Validation of qualitative analytical methods E Trullols, I Ruisanchez, FX Rius TrAC Trends in Analytical Chemistry 23 (2), 137-145, 2004 | 295 | 2004 |
| An overview of multivariate qualitative methods for food fraud detection MP Callao, I Ruisánchez Food Control 86, 283-293, 2018 | 283 | 2018 |
| FT-Raman and NIR spectroscopy data fusion strategy for multivariate qualitative analysis of food fraud C Márquez, MI López, I Ruisánchez, MP Callao Talanta 161, 80-86, 2016 | 158 | 2016 |
| Noise and background removal in Raman spectra of ancient pigments using wavelet transform PM Ramos, I Ruisánchez Journal of Raman Spectroscopy: An International Journal for Original Work in …, 2005 | 158 | 2005 |
| A tutorial on the validation of qualitative methods: From the univariate to the multivariate approach MI López, MP Callao, I Ruisánchez Analytica chimica acta 891, 62-72, 2015 | 139 | 2015 |
| Determining the adulteration of spices with Sudan I-II-II-IV dyes by UV–visible spectroscopy and multivariate classification techniques CV Di Anibal, M Odena, I Ruisánchez, MP Callao Talanta 79 (3), 887-892, 2009 | 138 | 2009 |
| Surface Enhanced Raman Spectroscopy (SERS) and multivariate analysis as a screening tool for detecting Sudan I dye in culinary spices CV Di Anibal, LF Marsal, MP Callao, I Ruisánchez Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 87, 135-141, 2012 | 120 | 2012 |
| Uncertainty of results in routine qualitative analysis A Pulido, I Ruisánchez, R Boqué, FX Rius TrAC Trends in Analytical Chemistry 22 (9), 647-654, 2003 | 120 | 2003 |
| Detection of several common adulterants in raw milk by MID-infrared spectroscopy and one-class and multi-class multivariate strategies C de Souza Gondim, RG Junqueira, SVC de Souza, I Ruisánchez, ... Food chemistry 230, 68-75, 2017 | 92 | 2017 |
| 1H NMR and UV-visible data fusion for determining Sudan dyes in culinary spices CV Di Anibal, MP Callao, I Ruisánchez Talanta 84 (3), 829-833, 2011 | 86 | 2011 |
| Multivariate screening in food adulteration: Untargeted versus targeted modelling MI López, E Trullols, MP Callao, I Ruisánchez Food chemistry 147, 177-181, 2014 | 80 | 2014 |
| High-resolution 1H nuclear magnetic resonance spectrometry combined with chemometric treatment to identify adulteration of culinary spices with Sudan dyes CV Di Anibal, I Ruisánchez, MP Callao Food Chemistry 124 (3), 1139-1145, 2011 | 77 | 2011 |
| Application of artificial neural networks to the classification of soils from Sao Paulo state using near-infrared spectroscopy PH Fidêncio, I Ruisánchez, RJ Poppi Analyst 126 (12), 2194-2200, 2001 | 65 | 2001 |
| Micro-Raman and X-ray fluorescence spectroscopy data fusion for the classification of ochre pigments PM Ramos, I Ruisánchez, KS Andrikopoulos Talanta 75 (4), 926-936, 2008 | 62 | 2008 |
| Authentication of the geographical origin of extra-virgin olive oil of the Arbequina cultivar by chromatographic fingerprinting and chemometrics DN Vera, AM Jiménez-Carvelo, L Cuadros-Rodríguez, I Ruisánchez, ... Talanta 203, 194-202, 2019 | 60 | 2019 |
| Radial basis functions applied to the classification of UV–visible spectra A Pulido, I Ruisanchez, FX Rius Analytica chimica acta 388 (3), 273-281, 1999 | 58 | 1999 |
| Partial least squares density modeling (PLS-DM)–A new class-modeling strategy applied to the authentication of olives in brine by near-infrared spectroscopy P Oliveri, MI López, MC Casolino, I Ruisánchez, MP Callao, L Medini, ... Analytica chimica acta 851, 30-36, 2014 | 57 | 2014 |
| Estimating the uncertainty of binary test results to assess their compliance with regulatory limits A Pulido, I Ruisánchez, R Boqué, FX Rius Analytica Chimica Acta 455 (2), 267-275, 2002 | 54 | 2002 |
| Validation of multivariate screening methodology. Case study: Detection of food fraud MI López, N Colomer, I Ruisánchez, MP Callao Analytica Chimica Acta 827, 28-33, 2014 | 49 | 2014 |
