Statistics for Sensory and Consumer Science T Næs, PB Brockhoff, O Tomic John Wiley & Sons, Ltd, i-xi, 2010 | 567* | 2010 |
A calibration method for handling the temporal drift of solid state gas-sensors JE Haugen, O Tomic, K Kvaal Analytica chimica acta 407 (1-2), 23-39, 2000 | 189 | 2000 |
Analysing sensory panel performance in a proficiency test using the PanelCheck software O Tomic, G Luciano, A Nilsen, G Hyldig, K Lorensen, T Næs European Food Research and Technology 230 (3), 497-511, 2010 | 155 | 2010 |
Independent component analysis applied on gas sensor array measurement data M Kermit, O Tomic IEEE Sensors Journal 3 (2), 218-228, 2003 | 121 | 2003 |
Characterization of selected South African young cultivar wines using FTMIR spectroscopy, gas chromatography, and multivariate data analysis L Louw, K Roux, A Tredoux, O Tomic, T Naes, HH Nieuwoudt, ... Journal of agricultural and food chemistry 57 (7), 2623-2632, 2009 | 112 | 2009 |
Visualization of sensory profiling data for performance monitoring O Tomic, A Nilsen, M Martens, T Næs LWT-Food science and technology 40 (2), 262-269, 2007 | 107 | 2007 |
Statistical process control and interrupted time series: a golden opportunity for impact evaluation in quality improvement A Fretheim, O Tomic BMJ quality & safety 24 (12), 748-752, 2015 | 102 | 2015 |
Path modelling by sequential PLS regression T Næs, O Tomic, BH Mevik, H Martens Journal of Chemometrics 25 (1), 28-40, 2011 | 98 | 2011 |
Temporal sweetness and side tastes profiles of 16 sweeteners using temporal check-all-that-apply (TCATA) VWK Tan, MSM Wee, O Tomic, CG Forde Food Research International 121, 39-47, 2019 | 90 | 2019 |
Multi-block regression based on combinations of orthogonalisation, PLS-regression and canonical correlation analysis T Naes, O Tomic, NK Afseth, V Segtnan, I Måge Chemometrics and Intelligent Laboratory Systems 124, 32-42, 2013 | 79 | 2013 |
The effect of a biochar temperature series on denitrification: which biochar properties matter? S Weldon, DP Rasse, A Budai, O Tomic, P Dörsch Soil Biology and Biochemistry 135, 173-183, 2019 | 64 | 2019 |
Correcting for different use of the scale and the need for further analysis of individual differences in sensory analysis R Romano, PB Brockhoff, M Hersleth, O Tomic, T Nęs Food Quality and Preference 19 (2), 197-209, 2008 | 56 | 2008 |
Barley bread with normal and low content of salt; sensory profile and consumer preference in five European countries M Rødbotten, O Tomic, AK Holtekjølen, IS Grini, P Lea, BS Granli, ... Journal of Cereal Science 64, 176-182, 2015 | 54 | 2015 |
Performance indices in descriptive sensory analysis–A complimentary screening tool for assessor and panel performance O Tomic, C Forde, C Delahunty, T Næs Food Quality and Preference 28 (1), 122-133, 2013 | 54 | 2013 |
30-day survival probabilities as a quality indicator for Norwegian hospitals: data management and analysis S Hassani, AS Lindman, DT Kristoffersen, O Tomic, J Helgeland PloS one 10 (9), e0136547, 2015 | 50 | 2015 |
Recalibration of a gas-sensor array system related to sensor replacement O Tomic, T Eklöv, K Kvaal, JE Haugen Analytica Chimica Acta 512 (2), 199-206, 2004 | 47 | 2004 |
Standardization methods for handling instrument related signal shift in gas-sensor array measurement data O Tomic, H Ulmer, JE Haugen Analytica Chimica Acta 472 (1-2), 99-111, 2002 | 47 | 2002 |
Rate‐All‐That‐Apply (RATA) comparison of taste profiles for different sweeteners in black tea, chocolate milk, and natural yogurt VWK Tan, MSM Wee, O Tomic, CG Forde Journal of Food Science 85 (2), 486-492, 2020 | 45 | 2020 |
Some new tools for visualising multi-way sensory data T Dahl, O Tomic, JP Wold, T Nęs Food Quality and Preference 19 (1), 103-113, 2008 | 44 | 2008 |
A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers AR Groendahl, IS Knudtsen, BN Huynh, M Mulstad, YM Moe, F Knuth, ... Physics in Medicine & Biology 66 (6), 065012, 2021 | 42 | 2021 |