Clément Allain

525 total citations
9 papers, 317 citations indexed

About

Clément Allain is a scholar working on Small Animals, Animal Science and Zoology and Genetics. According to data from OpenAlex, Clément Allain has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Small Animals, 6 papers in Animal Science and Zoology and 6 papers in Genetics. Recurrent topics in Clément Allain's work include Animal Behavior and Welfare Studies (6 papers), Effects of Environmental Stressors on Livestock (6 papers) and Genetic and phenotypic traits in livestock (4 papers). Clément Allain is often cited by papers focused on Animal Behavior and Welfare Studies (6 papers), Effects of Environmental Stressors on Livestock (6 papers) and Genetic and phenotypic traits in livestock (4 papers). Clément Allain collaborates with scholars based in France, Belgium and Brazil. Clément Allain's co-authors include Yannick Le Cozler, Philippe Faverdin, Nathalie Hostiou, Xavier Boivin, Florence Kling‐Eveillard, Pascal Salvetti, Stéphanie Coyral-Castel, Valérie Courboulay, Aurore Philibert and Eliel González García and has published in prestigious journals such as Journal of Dairy Science, Computers and Electronics in Agriculture and Theriogenology.

In The Last Decade

Clément Allain

9 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clément Allain France 8 179 177 107 56 54 9 317
Jennifer Salau Germany 12 229 1.3× 188 1.1× 96 0.9× 66 1.2× 58 1.1× 26 351
H. Levit Israel 9 131 0.7× 209 1.2× 78 0.7× 89 1.6× 51 0.9× 10 332
Eloise S. Fogarty Australia 11 241 1.3× 199 1.1× 93 0.9× 55 1.0× 88 1.6× 22 418
Kees Lokhorst Netherlands 9 350 2.0× 267 1.5× 152 1.4× 126 2.3× 81 1.5× 17 467
Jorge A. Vázquez-Diosdado United Kingdom 10 234 1.3× 155 0.9× 95 0.9× 50 0.9× 57 1.1× 22 336
Barbara Stefańska Poland 12 104 0.6× 120 0.7× 89 0.8× 226 4.0× 35 0.6× 32 383
M. J. McPhee Australia 14 81 0.5× 243 1.4× 223 2.1× 221 3.9× 19 0.4× 61 523
Nicolas Bédère France 9 147 0.8× 197 1.1× 231 2.2× 156 2.8× 69 1.3× 18 445
Jennifer M.C. Van Os United States 12 226 1.3× 266 1.5× 87 0.8× 47 0.8× 28 0.5× 32 363
Silvana Popescu Romania 9 287 1.6× 192 1.1× 146 1.4× 66 1.2× 19 0.4× 53 461

Countries citing papers authored by Clément Allain

Since Specialization
Citations

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

Fields of papers citing papers by Clément Allain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clément Allain

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

All Works

9 of 9 papers shown
1.
Cozler, Yannick Le, et al.. (2022). The use of 3-dimensional imaging of Holstein cows to estimate body weight and monitor the composition of body weight change throughout lactation. Journal of Dairy Science. 105(5). 4508–4519. 15 indexed citations
2.
García, Eliel González, et al.. (2021). Measuring liveweight changes in lactating dairy ewes with an automated walk-over-weighing system. Journal of Dairy Science. 104(5). 5675–5688. 15 indexed citations
3.
Faverdin, Philippe, Clément Allain, Raphaël R. Guatteo, Nathalie Hostiou, & Isabelle Veissier. (2021). Élevage de précision : De nouvelles informations utiles pour la décision ?. INRAE Productions Animales. 223–234. 1 indexed citations
4.
Kling‐Eveillard, Florence, Clément Allain, Xavier Boivin, et al.. (2020). Farmers’ representations of the effects of precision livestock farming on human-animal relationships. Livestock Science. 238. 104057–104057. 25 indexed citations
5.
Cozler, Yannick Le, et al.. (2019). Volume and surface area of Holstein dairy cows calculated from complete 3D shapes acquired using a high-precision scanning system: Interest for body weight estimation. Computers and Electronics in Agriculture. 165. 104977–104977. 59 indexed citations
6.
Cozler, Yannick Le, et al.. (2019). High-precision scanning system for complete 3D cow body shape imaging and analysis of morphological traits. Computers and Electronics in Agriculture. 157. 447–453. 68 indexed citations
7.
Hostiou, Nathalie, et al.. (2017). Impact of precision livestock farming on work and human-animal interactions on dairy farms. A review. BASE. 268–275. 86 indexed citations
8.
Coyral-Castel, Stéphanie, et al.. (2014). Comparison of three devices for the automated detection of estrus in dairy cows. Theriogenology. 82(5). 734–741. 38 indexed citations
9.
Hostiou, Nathalie, et al.. (2014). L’élevage de précision : quelles conséquences pour le travail des éleveurs ?. INRAE Productions Animales. 27(2). 113–122. 10 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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