S. Jaeger
Food Science · 2001–2018
A researcher in the Science corpus: 37 papers; trusts 22 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Food Science — 263 citations into it; #58 of 1,700 by trust here, #26 by citations
- Experimental and Cognitive Psychology — 95 citations into it; #1,812 of 9,731 by trust here, #1,382 by citations
- Nutrition and Dietetics — 89 citations into it; #349 of 1,029 by trust here, #146 by citations
- Social Psychology — 89 citations into it; #8,755 of 15,694 by trust here, #4,401 by citations
- Plant Science — 58 citations into it; #5,155 of 8,232 by trust here, #1,875 by citations
- Animal Science and Zoology — 55 citations into it
- Marketing — 49 citations into it; #1,439 of 6,289 by trust here, #2,099 by citations
- Sensory Systems — 46 citations into it; #348 of 760 by trust here, #165 by citations
Whom S. Jaeger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. King
- H. Meiselman
- E. P. Köster
- G. Ares
- David A. Hensher
- A. V. Cardello
- Betina Piqueras-Fiszman
- Daniel McFadden
- P. Doyle
- Alain d'Astous
Who trusts S. Jaeger overall
- G. Ares
- Carl Johan Lagerkvist
- Betina Piqueras-Fiszman
- Juyun Lim
- E. Costell
- Qiyu Bai
- A. Decrop
- Simone C. Mueller
- Leticia Vidal
- Lukas Danner
Papers from S. Jaeger's perspective
Ordered by how strongly the researchers S. Jaeger 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
- What are emotions? And how can they be measured?
- Development of a method to measure consumer emotions associated with foods
- APPLICATION OF A CHECK‐ALL‐THAT‐APPLY QUESTION TO THE DEVELOPMENT OF CHOCOLATE MILK DESSERTS
- The impact of evoked consumption contexts and appropriateness on emotion responses
- Developing a reduced consumer-led lexicon to measure emotional response to beer
- Stated choice experimentation, contextual influences and food choice: A case study
- A random nth-price auction
- Factors influencing the consumer's decision.
- Measuring Preferences for Really New Products
Their papers
- Stated choice experimentation, contextual influences and food choice: A case study (2008) — 181 citations
- Best–worst scaling: An introduction and initial comparison with monadic rating for preference elicitation with food products (2008) — 144 citations
- Methodological issues in conjoint analysis: a case study (2001) — 113 citations
- Buy, eat or discard? A case study with apples to explore fruit quality perception and food waste (2018) — 113 citations
- Emoji questionnaires can be used with a range of population segments: Findings relating to age, gender and frequency of emoji/emoticon use (2017) — 91 citations
- Future directions in sensory and consumer science: Four perspectives and audience voting (2017) — 90 citations
- Hedonic product optimisation: CATA questions as alternatives to JAR scales (2017) — 50 citations
- 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
- Dominant meanings of facial emoji: insights from Chinese consumers and comparison with meanings from internet resources (2017) — 96 citations
- Product uniqueness: Further exploration and application of a consumer-based methodology (2017) — 48 citations
- Use of emoticon and emoji in tweets for food-related emotional expression (2016) — 153 citations
- Comparison of rate-all-that-apply (RATA) and check-all-that-apply (CATA) questions across seven consumer studies (2016) — 120 citations
- On the analysis of Rate-All-That-Apply (RATA) data (2016) — 170 citations
- Cognitive and emotional differentiators for beer: An exploratory study focusing on “uniqueness” (2016) — 105 citations
- Situational appropriateness of beer is influenced by product familiarity (2015) — 112 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
- Investigation of the number of consumers necessary to obtain stable sample and descriptor configurations from check-all-that-apply (CATA) questions (2014) — 128 citations
- Emotion responses under evoked consumption contexts: A focus on the consumers’ frequency of product consumption and the stability of responses (2014) — 102 citations