Leticia Vidal
Food Science · 2013–2017
A researcher in the Science corpus: 15 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Food Science — 174 citations into it; #926 of 1,700 by trust here, #200 by citations
- Social Psychology — 74 citations into it
- Nutrition and Dietetics — 71 citations into it; #1,015 of 1,029 by trust here, #317 by citations
- Experimental and Cognitive Psychology — 57 citations into it; #7,080 of 9,731 by trust here, #2,420 by citations
- Animal Science and Zoology — 36 citations into it
- Sensory Systems — 22 citations into it
Whom Leticia Vidal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- G. Ares
- H. Meiselman
- S. Jaeger
- E. P. Köster
- Klaus Krippendorff
- Paula Varela
- M. Macht
- S. King
- Betina Piqueras-Fiszman
- Sébastien Lê
Who trusts Leticia Vidal overall
Papers from Leticia Vidal's perspective
Ordered by how strongly the researchers Leticia Vidal trusts endorse each paper. Same corpus, a different order for every researcher.
- Visual attention by consumers to check-all-that-apply questions: Insights to support methodological development
- APPLICATION OF A CHECK‐ALL‐THAT‐APPLY QUESTION TO THE DEVELOPMENT OF CHOCOLATE MILK DESSERTS
- Thinking, Fast and Slow (Development and Learning in Organizations: an international journal)
- What are emotions? And how can they be measured?
- Triangulation between case study and survey methods in management accounting research: An assessment of validity implications
- A Factorial Approach for Sorting Task data (FAST)
- Development of a method to measure consumer emotions associated with foods
- Diversity in the determinants of food choice: A psychological perspective
- Collection and analysis of perceived product inter-distances using multiple factor analysis: Application to the study of 10 white wines from the Loire Valley
- Sensory evaluation of the texture of 49 commercial apple and pear purees
Their papers
- Can emoji be used as a direct method to measure emotional associations to food names? Preliminary investigations with consumers in USA and China (2017) — 98 citations
- Use of emoticon and emoji in tweets for food-related emotional expression (2016) — 153 citations
- Do we all perceive food-related wellbeing in the same way?: Results from an exploratory cross-cultural study (2016) — 94 citations
- Comparison of rate-all-that-apply (RATA) and check-all-that-apply (CATA) questions across seven consumer studies (2016) — 120 citations
- Comparison of intensity scales and CATA questions in new product development: Sensory characterisation and directions for product reformulation of milk desserts (2015) — 91 citations
- Check-all-that-apply (CATA) questions for sensory product characterization by consumers: Investigations into the number of terms used in CATA questions (2015) — 170 citations
- Using Twitter data for food-related consumer research: A case study on “what people say when tweeting about different eating situations” (2015) — 127 citations
- Comparison of sensory product profiles generated by trained assessors and consumers using CATA questions: Four case studies with complex and/or similar samples (2015) — 114 citations
- Visual attention by consumers to check-all-that-apply questions: Insights to support methodological development (2014) — 100 citations
- Stability of sample configurations from projective mapping: How many consumers are necessary? (2014) — 50 citations
- Evaluation of a rating-based variant of check-all-that-apply questions: Rate-all-that-apply (RATA) (2014) — 275 citations
- Check-all-that-apply (CATA) responses elicited by consumers: Within-assessor reproducibility and stability of sensory product characterizations (2013) — 127 citations
- CATA questions for sensory product characterization: Raising awareness of biases (2013) — 92 citations
- Projective techniques to uncover consumer perception: Application of three methodologies to ready-to-eat salads (2013) — 129 citations
- Consumer Visual Processing of Food Labels: Results from an Eye‐Tracking Study (2013) — 165 citations