| Multivariate calibration H Martens, T Naes John Wiley & Sons, 1992 | 8287 | 1992 |
| A user-friendly guide to multivariate calibration and classification T Næs, T Isaksson, T Fearn, T Davies NIR, 2002 | 2063 | 2002 |
| The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy T Isaksson, T Næs Applied Spectroscopy 42 (7), 1273-1284, 1988 | 515 | 1988 |
| Statistics for sensory and consumer science T Næs, PB Brockhoff, O Tomić Wiley, 2010 | 398 | 2010 |
| Making sense of the “clean label” trends: A review of consumer food choice behavior and discussion of industry implications D Asioli, J Aschemann-Witzel, V Caputo, R Vecchio, A Annunziata, T Næs, ... Food Research International 99, 58-71, 2017 | 344 | 2017 |
| Locally weighted regression and scatter correction for near-infrared reflectance data T Naes, T Isaksson, B Kowalski Analytical Chemistry 62 (7), 664-673, 1990 | 336 | 1990 |
| Understanding the collinearity problem in regression and discriminant analysis T Næs, BH Mevik Journal of Chemometrics: A Journal of the Chemometrics Society 15 (4), 413-426, 2001 | 273 | 2001 |
| Related versions of the multiplicative scatter correction method for preprocessing spectroscopic data IS Helland, T Næs, T Isaksson Chemometrics and Intelligent Laboratory Systems 29 (2), 233-241, 1995 | 260 | 1995 |
| Principal component regression in NIR analysis: viewpoints, background details and selection of components T Næs, H Martens Journal of chemometrics 2 (2), 155-167, 1988 | 252 | 1988 |
| General image and attribute perceptions of traditional food in six European countries VL Almli, W Verbeke, F Vanhonacker, T Næs, M Hersleth Food Quality and Preference 22 (1), 129-138, 2011 | 230 | 2011 |
| A new and simple approach to multi-group analysis in partial least squares path modeling J Henseler As, Norwegen:[Sn], 2007 | 221 | 2007 |
| Comparison of prediction methods for multicollinear data T Naes, H Martens Communications in Statistics-Simulation and Computation 14 (3), 545-576, 1985 | 198 | 1985 |
| Consumer preference mapping of dry fermented lamb sausages H Helgesen, R Solheim, T Næs Food Quality and Preference 8 (2), 97-109, 1997 | 150 | 1997 |
| Prediction of sensory characteristics of beef by near-infrared spectroscopy KI Hildrum, BN Nilsen, M Mielnik, T Naes Meat science 38 (1), 67-80, 1994 | 139 | 1994 |
| Analysis of variance for sensory data P Lea, T Næs, M Rødbotten John Wiley, 1997 | 138 | 1997 |
| Linking gene regulation and the exo-metabolome: a comparative transcriptomics approach to identify genes that impact on the production of volatile aroma compounds in yeast D Rossouw, T Næs, FF Bauer BMC genomics 9 (1), 1-10, 2008 | 135 | 2008 |
| Near infra-red spectroscopy: bridging the gap between data analysis and NIR applications KI Hildrum Ellis Horwood Limited, 1992 | 132 | 1992 |
| Artificial neural networks in multivariate calibration T Næs, K Kvaal, T Isaksson, C Miller Journal of Near Infrared Spectroscopy 1 (1), 1-11, 1993 | 128 | 1993 |
| Multivariate calibration H Martens, T Naes Chemometrics, 147-156, 1984 | 118 | 1984 |
| Multivariate analysis of data in sensory science T Næs, E Risvik Elsevier, 1996 | 115 | 1996 |
HARALD MARTENSprof. emerit. chemometrics multivariate metamodelling, Norwegian U. Science & Technol.Verified email at ntnu.no
