Tormod Næs

Food Science · 2001–2018

A researcher in the Science corpus: 20 papers; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Food Science — 59 citations into it; #869 of 1,700 by trust here, #402 by citations
• Analytical Chemistry — 21 citations into it
• Statistics and Probability — 17 citations into it
• Sensory Systems — 14 citations into it
• Artificial Intelligence — 6 citations into it
• Biomedical Engineering — 5 citations into it

Whom Tormod Næs trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Leo Breiman
2. Johan Trygg
3. Vincenzo Esposito Vinzi
4. Eric R. Ziegel
5. Michael V. Boland
6. Svante Wold
7. V. Segtnan
8. John C. Gower
9. Bradley Efron
10. Eric Bauer

Who trusts Tormod Næs overall

1. A. Biancolillo
2. I. Måge
3. Kristian Hovde Liland
4. Jian Bi
5. D. Asioli

Papers from Tormod Næs's perspective

Ordered by how strongly the researchers Tormod Næs trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bagging Predictors
2. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
3. The Elements of Statistical Learning
4. Orthogonal projections to latent structures (O‐PLS)
5. A Statistical View of Some Chemometrics Regression Tools
6. Multivariate Analysis of Quality. An Introduction
7. Random Forests
8. Multivariate calibration. (Journal of Chromatography A)
9. Heuristics of instability and stabilization in model selection
10. Pattern Recognition and Neural Networks

Their papers

• From dummy regression to prior probabilities in PLS‐DA (2007) — 105 citations
• Path modelling by sequential PLS regression (2011) — 97 citations
• When the choice of the temporal method does make a difference: TCATA, TDS and TDS by modality for characterizing semi-solid foods (2018) — 68 citations
• Making sense of the "clean label" trends: A review of consumer food choice behavior and discussion of industry implications. (2017) — 920 citations
• Comparison of rating-based and choice-based conjoint analysis models. A case study based on preferences for iced coffee in Norway (2016) — 73 citations
• Variable selection in multi-block regression (2016) — 62 citations
• Consumer preferences for iced coffee determined by conjoint analysis: an exploratory study with Norwegian consumers (2014) — 57 citations
• Projective Mapping for interpreting wine aroma differences as perceived by naïve and experienced assessors (2013) — 109 citations
• Multi-block regression based on combinations of orthogonalisation, PLS-regression and canonical correlation analysis (2013) — 77 citations
• Sensory characterization of rooibos tea and the development of a rooibos sensory wheel and lexicon (2012) — 125 citations
• Preference mapping by PO-PLS: Separating common and unique information in several data blocks (2012) — 64 citations
• Consumers' acceptance of innovations in dry-cured ham: Impact of reduced salt content, prolonged aging time and new origin (2011) — 107 citations
• Statistics for Sensory and Consumer Science: Naes/Statistics for Sensory and Consumer Science (2010) — 130 citations
• Statistics for Sensory and Consumer Science (2010) — 311 citations
• Correcting for different use of the scale and the need for further analysis of individual differences in sensory analysis (2008) — 56 citations
• A comparison of methods for testing differences in predictive ability (2005) — 47 citations
• A comparison of methods for analysing regression models with both spectral and designed variables (2004) — 54 citations
• Ensemble methods and partial least squares regression (2004) — 84 citations
• Effect of contextual factors on liking for wine—use of robust design methodology (2003) — 104 citations
• Understanding the collinearity problem in regression and discriminant analysis (2001) — 288 citations