Catherine Rouby

2.6k total citations
62 papers, 1.7k citations indexed

About

Catherine Rouby is a scholar working on Sensory Systems, Biomedical Engineering and Nutrition and Dietetics. According to data from OpenAlex, Catherine Rouby has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Sensory Systems, 27 papers in Biomedical Engineering and 21 papers in Nutrition and Dietetics. Recurrent topics in Catherine Rouby's work include Olfactory and Sensory Function Studies (58 papers), Advanced Chemical Sensor Technologies (27 papers) and Biochemical Analysis and Sensing Techniques (21 papers). Catherine Rouby is often cited by papers focused on Olfactory and Sensory Function Studies (58 papers), Advanced Chemical Sensor Technologies (27 papers) and Biochemical Analysis and Sensing Techniques (21 papers). Catherine Rouby collaborates with scholars based in France, United States and Germany. Catherine Rouby's co-authors include Moustafa Bensafi, Vincent Farget, Michel Vigouroux, André Holley, Fanny Rinck, Marilyn Jones‐Gotman, Robert J. Zatorre, Camille Ferdenzi, B. Bertrand and Thomas Hummel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Catherine Rouby

61 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Catherine Rouby France 25 1.4k 734 708 359 269 62 1.7k
Tatsu Kobayakawa Japan 19 1.1k 0.8× 579 0.8× 835 1.2× 252 0.7× 117 0.4× 80 1.5k
Camille Ferdenzi France 21 836 0.6× 373 0.5× 376 0.5× 331 0.9× 134 0.5× 51 1.1k
Gesualdo M. Zucco Italy 19 945 0.7× 552 0.8× 517 0.7× 244 0.7× 108 0.4× 37 1.5k
Simona Negoias Germany 19 1.2k 0.8× 657 0.9× 636 0.9× 134 0.4× 145 0.5× 41 1.4k
Emilia Iannilli Germany 24 983 0.7× 555 0.8× 680 1.0× 173 0.5× 138 0.5× 43 1.2k
Jean‐Louis Millot France 18 724 0.5× 299 0.4× 291 0.4× 243 0.7× 138 0.5× 47 1.1k
Janina Seubert United States 20 859 0.6× 435 0.6× 474 0.7× 320 0.9× 87 0.3× 34 1.2k
Rehan M Khan United States 12 1.1k 0.7× 615 0.8× 458 0.6× 212 0.6× 455 1.7× 13 1.3k
Moustafa Bensafi France 35 2.6k 1.9× 1.3k 1.8× 1.2k 1.7× 656 1.8× 695 2.6× 124 3.3k
Michel Vigouroux France 19 838 0.6× 383 0.5× 328 0.5× 126 0.4× 343 1.3× 34 1.1k

Countries citing papers authored by Catherine Rouby

Since Specialization
Citations

This map shows the geographic impact of Catherine Rouby'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 Rouby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Rouby more than expected).

Fields of papers citing papers by Catherine Rouby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine Rouby. 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 Rouby. The network helps show where Catherine Rouby may publish in the future.

Co-authorship network of co-authors of Catherine Rouby

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Rouby. A scholar is included among the top collaborators of Catherine Rouby 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 Rouby. Catherine Rouby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ferdenzi, Camille, Arnaud Fournel, Fréderic Faure, et al.. (2021). The prevalence of olfactory deficits and their effects on eating behavior from childhood to old age: A large-scale study in the French population. Food Quality and Preference. 93. 104273–104273. 16 indexed citations
2.
Draf, Julia, et al.. (2021). Perceived utility of electronic noses in patients with loss of smell. European Archives of Oto-Rhino-Laryngology. 278(6). 2155–2156. 2 indexed citations
3.
Ferdenzi, Camille, Christophe A. H. Bousquet, Pierre‐Emmanuel Aguera, et al.. (2021). Recovery From COVID-19-Related Olfactory Disorders and Quality of Life: Insights From an Observational Online Study. Chemical Senses. 46. 20 indexed citations
4.
Petitpierre, Geneviève, et al.. (2015). Odor Perception in Children with Autism Spectrum Disorder and its Relationship to Food Neophobia. Frontiers in Psychology. 6. 1830–1830. 51 indexed citations
5.
Rouby, Catherine, et al.. (2014). A pleasant familiar odor influences perceived stress and peripheral nervous system activity during normal aging. Frontiers in Psychology. 5. 113–113. 18 indexed citations
6.
Ferdenzi, Camille, et al.. (2014). Repeated exposure to odors induces affective habituation of perception and sniffing. Frontiers in Behavioral Neuroscience. 8. 119–119. 42 indexed citations
7.
Bensafi, Moustafa, Emilia Iannilli, Valentin A. Schriever, et al.. (2013). Cross-modal integration of emotions in the chemical senses. Frontiers in Human Neuroscience. 7. 883–883. 20 indexed citations
8.
Thévenet, Marc, et al.. (2013). Effect of Aging on Hedonic Appreciation of Pleasant and Unpleasant Odors. PLoS ONE. 8(4). e61376–e61376. 43 indexed citations
9.
Kermen, Florence, et al.. (2011). Physicochemical influence on odor hedonics. Communicative & Integrative Biology. 4(5). 563–565. 16 indexed citations
10.
Rinck, Fanny, et al.. (2010). Semantic Knowledge Influences Prewired Hedonic Responses to Odors. PLoS ONE. 5(11). e13878–e13878. 28 indexed citations
11.
Rouby, Catherine, et al.. (2009). Perceptual and Sensorimotor Differences between “Good” and “Poor” Olfactory Mental Imagers. Annals of the New York Academy of Sciences. 1170(1). 333–337. 17 indexed citations
12.
Monnery-Patris, Sandrine, Catherine Rouby, Sophie Nicklaus, & Sylvie Issanchou. (2009). Development of olfactory ability in children: Sensitivity and identification. Developmental Psychobiology. 51(3). 268–276. 56 indexed citations
13.
Rinck, Fanny, et al.. (2009). The effect of early experience on odor perception in humans: Psychological and physiological correlates. Behavioural Brain Research. 208(2). 458–465. 36 indexed citations
14.
Rinck, Fanny, Catherine Rouby, & Moustafa Bensafi. (2008). Which format for odor images?. Chemical Senses. 34(1). 11–13. 17 indexed citations
15.
Landis, Basile N., et al.. (2008). Improved smell pleasantness after odor–taste associative learning in humans. Neuroscience Letters. 434(1). 108–112. 23 indexed citations
16.
Bensafi, Moustafa, Fanny Rinck, B. Schaal, & Catherine Rouby. (2007). Verbal Cues Modulate Hedonic Perception of Odors in 5-Year-Old Children as well as in Adults. Chemical Senses. 32(9). 855–862. 55 indexed citations
17.
Bensafi, Moustafa, Catherine Rouby, Vincent Farget, et al.. (2003). Perceptual, affective, and cognitive judgments of odors: Pleasantness and handedness effects. Brain and Cognition. 51(3). 270–275. 41 indexed citations
18.
Bensafi, Moustafa, Catherine Rouby, Vincent Farget, et al.. (2002). Psychophysiological correlates of affects in human olfaction. Neurophysiologie Clinique. 32(5). 326–332. 64 indexed citations
19.
Zatorre, Robert J., Marilyn Jones‐Gotman, & Catherine Rouby. (2000). Neural mechanisms involved in odor pleasantness and intensity judgments. Neuroreport. 11(12). 2711–2716. 122 indexed citations
20.
Royet, Jean‐Pierre, Hélène Paugam‐Moisy, Catherine Rouby, et al.. (1996). Is Short-term Odour Recognition Predictable from Odour Profile?. Chemical Senses. 21(5). 553–566. 4 indexed citations

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.

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