| The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies A Hassoun, A Aït-Kaddour, AM Abu-Mahfouz, NB Rathod, F Bader, ... Critical reviews in food science and nutrition 63 (23), 6547-6563, 2023 | 274 | 2023 |
| Prebiotic effect of inulin-type fructans on faecal microbiota and short-chain fatty acids in type 2 diabetes: a randomised controlled trial E Birkeland, S Gharagozlian, KI Birkeland, J Valeur, I Måge, I Rud, ... European journal of nutrition 59, 3325-3338, 2020 | 174 | 2020 |
| Fraud in animal origin food products: Advances in emerging spectroscopic detection methods over the past five years A Hassoun, I Måge, WF Schmidt, HT Temiz, L Li, HY Kim, H Nilsen, ... Foods 9 (8), 1069, 2020 | 136 | 2020 |
| Reduction of verotoxigenic Escherichia coli in production of fermented sausages AL Holck, L Axelsson, TM Rode, M Høy, I Måge, O Alvseike, ML Trine, ... Meat science 89 (3), 286-295, 2011 | 105 | 2011 |
| Common and distinct components in data fusion AK Smilde, I Måge, T Naes, T Hankemeier, MA Lips, HAL Kiers, E Acar, ... Journal of Chemometrics 31 (7), e2900, 2017 | 103 | 2017 |
| 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 | 88 | 2013 |
| Combining SO-PLS and linear discriminant analysis for multi-block classification A Biancolillo, I Måge, T Næs Chemometrics and Intelligent Laboratory Systems 141, 58-67, 2015 | 82 | 2015 |
| Preference mapping by PO-PLS: separating common and unique information in several data blocks I Måge, E Menichelli, T Næs Food quality and preference 24 (1), 8-16, 2012 | 71 | 2012 |
| FTIR as a rapid tool for monitoring molecular weight distribution during enzymatic protein hydrolysis of food processing by-products SG Wubshet, I Måge, U Böcker, D Lindberg, SH Knutsen, A Rieder, ... Analytical Methods 9 (29), 4247-4254, 2017 | 70 | 2017 |
| Variable selection in multi-block regression A Biancolillo, KH Liland, I Måge, T Næs, R Bro Chemometrics and Intelligent Laboratory Systems 156, 89-101, 2016 | 65 | 2016 |
| Near-infrared spectroscopy detects woody breast syndrome in chicken fillets by the markers protein content and degree of water binding JP Wold, I Måge, A Løvland, KW Sanden, R Ofstad Poultry science 98 (1), 480-490, 2019 | 63 | 2019 |
| Reduction of verotoxigenic Escherichia coli by process and recipe optimisation in dry-fermented sausages E Heir, AL Holck, MK Omer, O Alvseike, M Høy, I Måge, L Axelsson International Journal of Food Microbiology 141 (3), 195-202, 2010 | 63 | 2010 |
| High nutrient availability reduces the diversity and stability of the equine caecal microbiota NCK Hansen, E Avershina, LT Mydland, JA Næsset, D Austbø, B Moen, ... Microbial ecology in health and disease 26 (1), 27216, 2015 | 60 | 2015 |
| Effect of dietary fibers on cecal microbiota and intestinal tumorigenesis in azoxymethane treated A/J Min/+ mice B Moen, K Henjum, I Måge, SH Knutsen, I Rud, RB Hetland, JE Paulsen PLoS One 11 (5), e0155402, 2016 | 58 | 2016 |
| Near‐Infrared Hyperspectral Imaging of Fusarium‐Damaged Oats (Avena sativa L.) S Tekle, I Måge, VH Segtnan, Å Bj⊘ rnstad Cereal Chemistry 92 (1), 73-80, 2015 | 45 | 2015 |
| Regression models with process variables and parallel blocks of raw material measurements I Måge, BH Mevik, T Næs Journal of Chemometrics: A Journal of the Chemometrics Society 22 (8), 443-456, 2008 | 43 | 2008 |
| Extension of SO-PLS to multi-way arrays: SO-N-PLS A Biancolillo, T Næs, R Bro, I Måge Chemometrics and Intelligent Laboratory Systems 164, 113-126, 2017 | 35 | 2017 |
| Sensory assessment of fish and chicken protein hydrolysates. Evaluation of NMR metabolomics profiling as a new prediction tool S Steinsholm, Å Oterhals, J Underhaug, I Måge, A Malmendal, T Aspevik Journal of agricultural and food chemistry 68 (12), 3881-3890, 2020 | 34 | 2020 |
| Microbiota formed on attached stainless steel coupons correlates with the natural biofilm of the sink surface in domestic kitchens B Moen, E Røssvoll, I Måge, T Møretrø, S Langsrud Canadian journal of microbiology 62 (2), 148-160, 2016 | 34 | 2016 |
| Effects of post-processing treatments on sensory quality and Shiga toxigenic Escherichia coli reductions in dry-fermented sausages E Heir, AL Holck, MK Omer, O Alvseike, I Måge, M Høy, TM Rode, ... Meat Science 94 (1), 47-54, 2013 | 34 | 2013 |
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