Céline Parias

894 total citations
29 papers, 575 citations indexed

About

Céline Parias is a scholar working on Small Animals, Genetics and Equine. According to data from OpenAlex, Céline Parias has authored 29 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Small Animals, 19 papers in Genetics and 13 papers in Equine. Recurrent topics in Céline Parias's work include Animal Behavior and Welfare Studies (22 papers), Human-Animal Interaction Studies (18 papers) and Veterinary Equine Medical Research (13 papers). Céline Parias is often cited by papers focused on Animal Behavior and Welfare Studies (22 papers), Human-Animal Interaction Studies (18 papers) and Veterinary Equine Medical Research (13 papers). Céline Parias collaborates with scholars based in France, Morocco and Japan. Céline Parias's co-authors include Léa Lansade, Ludovic Calandreau, Aline Bertin, Fabrice Reigner, Violaine Colson, Raymond Nowak, Christine Leterrier, Aline Foury, Julie Lemarchand and Marie‐Pierre Moisan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Experimental Biology.

In The Last Decade

Céline Parias

28 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Céline Parias France 12 277 237 214 102 73 29 575
Fabrice Reigner France 13 162 0.6× 109 0.5× 176 0.8× 46 0.5× 67 0.9× 55 648
Simona Normando Italy 16 505 1.8× 600 2.5× 117 0.5× 134 1.3× 92 1.3× 70 810
U.A. Luescher Canada 12 303 1.1× 381 1.6× 84 0.4× 82 0.8× 80 1.1× 18 628
C. Palestrini Italy 17 452 1.6× 748 3.2× 50 0.2× 186 1.8× 66 0.9× 51 962
G Bono Italy 16 233 0.8× 469 2.0× 60 0.3× 78 0.8× 90 1.2× 44 765
Carol Sankey France 15 385 1.4× 315 1.3× 367 1.7× 104 1.0× 124 1.7× 26 721
Stefanie Riemer Switzerland 19 441 1.6× 656 2.8× 49 0.2× 257 2.5× 73 1.0× 50 832
Sarah Heath United Kingdom 19 591 2.1× 676 2.9× 54 0.3× 175 1.7× 25 0.3× 55 1.2k
Simona Cannas Italy 14 255 0.9× 407 1.7× 40 0.2× 106 1.0× 56 0.8× 47 570
Lieta Marinelli Italy 21 461 1.7× 835 3.5× 44 0.2× 283 2.8× 136 1.9× 82 1.3k

Countries citing papers authored by Céline Parias

Since Specialization
Citations

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

Fields of papers citing papers by Céline Parias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Céline Parias

This figure shows the co-authorship network connecting the top 25 collaborators of Céline Parias. A scholar is included among the top collaborators of Céline Parias 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 Céline Parias. Céline Parias 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.
Yamamoto, Shinya, Monamie Ringhofer, Céline Parias, et al.. (2025). Emotional contagion of fear and joy from humans to horses using a combination of facial and vocal cues. Scientific Reports. 15(1). 17689–17689.
2.
Arnould, Cécile, Scott Love, Benoît Piégu, et al.. (2024). Facial blushing and feather fluffing are indicators of emotions in domestic fowl (Gallus gallus domesticus). PLoS ONE. 19(7). e0306601–e0306601. 1 indexed citations
3.
Adriaensen, Hans, Céline Parias, Didier Dubreuil, et al.. (2024). Sheep (Ovis aries) training protocol for voluntary awake and unrestrained structural brain MRI acquisitions. Behavior Research Methods. 56(7). 7761–7773. 2 indexed citations
4.
Parias, Céline, et al.. (2024). Horses can learn to identify joy and sadness against other basic emotions from human facial expressions. Behavioural Processes. 220. 105081–105081. 1 indexed citations
5.
Reigner, Fabrice, et al.. (2023). Horses discriminate between human facial and vocal expressions of sadness and joy. Animal Cognition. 26(5). 1733–1742. 3 indexed citations
6.
Ringhofer, Monamie, Shinya Yamamoto, Céline Parias, et al.. (2023). Horses cross-modally recognize women and men. Scientific Reports. 13(1). 3864–3864. 2 indexed citations
7.
Destrez, Alexandra, Fabrice Damon, Céline Parias, et al.. (2023). Horses discriminate human body odors between fear and joy contexts in a habituation-discrimination protocol. Scientific Reports. 13(1). 3285–3285. 9 indexed citations
8.
Cognié, Juliette, et al.. (2022). Early castration in foals: Consequences on physical and behavioural development. Equine Veterinary Journal. 55(2). 214–221. 5 indexed citations
9.
Ringhofer, Monamie, Shinya Yamamoto, Céline Parias, et al.. (2022). Horses form cross-modal representations of adults and children. Animal Cognition. 26(2). 369–377. 6 indexed citations
10.
Calandreau, Ludovic, et al.. (2022). Pet-directed speech improves horses’ attention toward humans. Scientific Reports. 12(1). 4297–4297. 6 indexed citations
11.
Calandreau, Ludovic, Florent Kempf, Olivier Zemb, et al.. (2021). Microbiota and stress: a loop that impacts memory. Psychoneuroendocrinology. 136. 105594–105594. 19 indexed citations
12.
Mialon, Marie‐Madeleine, Xavier Boivin, D. Durand, et al.. (2021). Short- and mid-term effects on performance, health and qualitative behavioural assessment of Romane lambs in different milk feeding conditions. animal. 15(3). 100157–100157. 11 indexed citations
13.
Lemarchand, Julie, Fabien Cornilleau, P. Constantin, et al.. (2021). Training level reveals a dynamic dialogue between stress and memory systems in birds. Behavioural Brain Research. 408. 113280–113280. 5 indexed citations
14.
Lansade, Léa, et al.. (2021). Horses are sensitive to baby talk: pet-directed speech facilitates communication with humans in a pointing task and during grooming. Animal Cognition. 24(5). 999–1006. 20 indexed citations
15.
Lansade, Léa, Violaine Colson, Céline Parias, et al.. (2020). Human Face Recognition in Horses: Data in Favor of a Holistic Process. Frontiers in Psychology. 11. 575808–575808. 140 indexed citations
16.
Lévy, Frédéric, Karine Badonnel, Aline Bertin, et al.. (2020). Artificial milk preference of newborn lambs is prenatally influenced by transfer of the flavor from the maternal diet to the amniotic fluid. Physiology & Behavior. 227. 113166–113166. 4 indexed citations
17.
Parias, Céline, et al.. (2020). Horses feel emotions when they watch positive and negative horse–human interactions in a video and transpose what they saw to real life. Animal Cognition. 23(4). 643–653. 36 indexed citations
18.
Ringhofer, Monamie, et al.. (2019). Horses prefer to solicit a person who previously observed a food-hiding process to access this food: A possible indication of attentional state attribution. Behavioural Processes. 166. 103906–103906. 14 indexed citations
19.
Lansade, Léa, Raymond Nowak, Anne-Lyse Lainé, et al.. (2018). Facial expression and oxytocin as possible markers of positive emotions in horses. Scientific Reports. 8(1). 14680–14680. 77 indexed citations
20.
Lansade, Léa, Aline Foury, Fabrice Reigner, et al.. (2018). Progressive habituation to separation alleviates the negative effects of weaning in the mother and foal. Psychoneuroendocrinology. 97. 59–68. 23 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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