Catherine Dacremont
- Food Science top 0.5%
- Nutrition and Dietetics top 1%
- Plant Science top 5%
- Experimental and Cognitive Psychology top 2%
- Sensory Systems top 1%
- Co-authors
- Dominique ValentinMartine Le MesteGaëlle RoudautAgnès GiboreauJordi BallesterBernard ColasDelphine PicardJennifer Langlois
- Topics
- Sensory Analysis and Statistical Methods (31 papers)Olfactory and Sensory Function Studies (15 papers)Multisensory perception and integration (13 papers)
- Partner nations
- FranceUnited KingdomNew Zealand
In The Last Decade
Catherine Dacremont
47 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 134
- Food Science 1.4k
- Nutrition and Dietetics 620
- Plant Science 407
- Experimental and Cognitive Psychology 406
- Sensory Systems 373
Countries citing papers authored by Catherine Dacremont
This map shows the geographic impact of Catherine Dacremont's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Catherine Dacremont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Dacremont more than expected).
Fields of papers citing papers by Catherine Dacremont
This network shows the impact of papers produced by Catherine Dacremont. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Catherine Dacremont. The network helps show where Catherine Dacremont may publish in the future.
Co-authorship network of co-authors of Catherine Dacremont
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Dacremont. A scholar is included among the top collaborators of Catherine Dacremont based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Catherine Dacremont. Catherine Dacremont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 29 | |
| 3 | 19 | |
| 4 | 7 | |
| 5 | 51 | |
| 6 | 15 | |
| 7 | 31 | |
| 8 | 30 | |
| 9 | 86 | |
| 10 | 34 | |
| 11 | 31 | |
| 12 | 8 | |
| 13 | 37 | |
| 14 | 8 | |
| 15 | 63 | |
| 16 | 57 | |
| 17 | 3 | |
| 18 | 167 | |
| 19 | 3 | |
| 20 | 117 |
About Catherine Dacremont
Catherine Dacremont is a scholar working on Tourism, Leisure and Hospitality Management, Sensory Systems and Food Science, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (31 papers), Olfactory and Sensory Function Studies (15 papers) and Multisensory perception and integration (13 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (234 citations), Sensory Systems (373 citations) and Food Science (1.4k citations). Catherine Dacremont has collaborated with scholars based in France, United Kingdom and New Zealand. Frequent co-authors include Dominique Valentin, Martine Le Meste, Gaëlle Roudaut, Agnès Giboreau, Jordi Ballester, Bernard Colas, Delphine Picard, Jennifer Langlois, Ophélia Deroy and D. Valentin. Their work appears in journals such as Food Chemistry, Trends in Food Science & Technology and Food Research International.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.