C. Pomar

3.6k total citations
131 papers, 2.6k citations indexed

About

C. Pomar is a scholar working on Animal Science and Zoology, Small Animals and Genetics. According to data from OpenAlex, C. Pomar has authored 131 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Animal Science and Zoology, 49 papers in Small Animals and 21 papers in Genetics. Recurrent topics in C. Pomar's work include Animal Nutrition and Physiology (74 papers), Animal Behavior and Welfare Studies (49 papers) and Meat and Animal Product Quality (23 papers). C. Pomar is often cited by papers focused on Animal Nutrition and Physiology (74 papers), Animal Behavior and Welfare Studies (49 papers) and Meat and Animal Product Quality (23 papers). C. Pomar collaborates with scholars based in Canada, Brazil and Argentina. C. Pomar's co-authors include Aline Remus, J. Pomar, Luciano Hauschild, J. Rivest, Inês Andretta, R. J. Liotta, Marie-Pierre Létourneau-Montminy, M. Marcoux, P. A. Lovatto and J. Bernier and has published in prestigious journals such as Physical Review Letters, Bioresource Technology and Scientific Reports.

In The Last Decade

C. Pomar

127 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Pomar Canada 32 1.5k 740 443 395 267 131 2.6k
J. Pomar Canada 17 432 0.3× 301 0.4× 315 0.7× 128 0.3× 198 0.7× 34 1.1k
T. Scott Canada 28 1.6k 1.1× 86 0.1× 220 0.5× 217 0.5× 707 2.6× 120 2.8k
William R. Windham United States 35 1.0k 0.7× 91 0.1× 319 0.7× 100 0.3× 885 3.3× 165 3.9k
S. D. M. Jones Canada 31 2.1k 1.4× 568 0.8× 102 0.2× 768 1.9× 123 0.5× 183 3.4k
Janet R. Donaldson United States 25 251 0.2× 51 0.1× 96 0.2× 241 0.6× 108 0.4× 56 2.1k
Takayoshi Aoki Japan 29 453 0.3× 17 0.0× 106 0.2× 155 0.4× 370 1.4× 178 3.3k
Lizhi Wang China 22 168 0.1× 42 0.1× 61 0.1× 214 0.5× 141 0.5× 68 1.2k
Jianwei Zhou China 22 221 0.2× 30 0.0× 111 0.3× 322 0.8× 117 0.4× 69 1.5k
Óscar González-Recio Spain 32 593 0.4× 181 0.2× 157 0.4× 2.1k 5.2× 656 2.5× 104 2.9k
Tim Smith United Kingdom 25 276 0.2× 42 0.1× 98 0.2× 495 1.3× 122 0.5× 114 1.8k

Countries citing papers authored by C. Pomar

Since Specialization
Citations

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

Fields of papers citing papers by C. Pomar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Pomar

This figure shows the co-authorship network connecting the top 25 collaborators of C. Pomar. A scholar is included among the top collaborators of C. Pomar 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 C. Pomar. C. Pomar 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
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Remus, Aline & C. Pomar. (2023). 261 Variations in Protein Deposition Might Be Associated with Insulin Resistance and Differences in Amino Acids Metabolism in Growing Gilts. Journal of Animal Science. 101(Supplement_3). 201–201. 1 indexed citations
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Remus, Aline, et al.. (2023). 281 Modeling How the Inclusion of Fibrous By-Products to the Feed Improves the Net Protein Contribution of Pork Meat. Journal of Animal Science. 101(Supplement_3). 207–207.
5.
Pomar, C., Marie‐France Palin, H. Lapierre, et al.. (2022). Insulin sensitivity is associated with the observed variation of de novo lipid synthesis and body composition in finishing pigs. Scientific Reports. 12(1). 14586–14586. 6 indexed citations
6.
Andretta, Inês, et al.. (2021). Environmental Impacts of Pig and Poultry Production: Insights From a Systematic Review. Frontiers in Veterinary Science. 8. 750733–750733. 80 indexed citations
7.
Remus, Aline, Luciano Hauschild, S. Méthot, & C. Pomar. (2020). Precision livestock farming: real-time estimation of daily protein deposition in growing–finishing pigs. animal. 14(S2). s360–s370. 12 indexed citations
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Faucitano, L., C. Pomar, Diovani Paiano, et al.. (2020). Application of extended feed withdrawal time preslaughter and its effects on animal welfare and carcass and meat quality of enriched-housed pigs. Meat Science. 167. 108163–108163. 11 indexed citations
10.
Remus, Aline, Luciano Hauschild, E. Corrent, Marie-Pierre Létourneau-Montminy, & C. Pomar. (2019). Pigs receiving daily tailored diets using precision-feeding techniques have different threonine requirements than pigs fed in conventional phase-feeding systems. Journal of Animal Science and Biotechnology. 10(1). 16–16. 24 indexed citations
11.
Kipper, Marcos, M. Marcoux, Inês Andretta, & C. Pomar. (2018). Assessing the accuracy of measurements obtained by dual-energy X-ray absorptiometry on pig carcasses and primal cuts. Meat Science. 148. 79–87. 13 indexed citations
12.
Létourneau-Montminy, Marie-Pierre, Agnès Narcy, Philippe Lescoat, et al.. (2010). Meta-analysis of phosphorus utilisation by broilers receiving corn-soyabean meal diets: influence of dietary calcium and microbial phytase. animal. 4(11). 1844–1853. 46 indexed citations
13.
Pomar, C., Jaap J. van Milgen, & François Dubeau. (2009). La détermination des besoins nutritionnels, la formulation multicritère et l'ajustement progressif des apports de nutriments aux besoins des porcs : des outils pour maitriser les rejets d'azote et de phosphore. HAL (Le Centre pour la Communication Scientifique Directe). 22(1). 49–54. 2 indexed citations
14.
Létourneau-Montminy, Marie-Pierre, Philippe Lescoat, Agnès Narcy, et al.. (2008). Effects of reduced dietary calcium and phytase supplementation on calcium and phosphorus utilisation in broilers with modified mineral status. British Poultry Science. 49(6). 705–715. 22 indexed citations
15.
Marcoux, M., L. Faucitano, & C. Pomar. (2005). The accuracy of predicting carcass composition of three different pig genetic lines by dual-energy X-ray absorptiometry. Meat Science. 70(4). 655–663. 21 indexed citations
16.
Pomar, C., I. Kyriazakis, G. C. Emmans, & P. W. Knap. (2003). Modeling stochasticity: Dealing with populations rather than individual pigs. Journal of Animal Science. 81. 69 indexed citations
17.
Marcoux, M., J. Bernier, & C. Pomar. (2003). Estimation of Canadian and European lean yields and composition of pig carcasses by dual-energy X-ray absorptiometry. Meat Science. 63(3). 359–365. 35 indexed citations
18.
Pomar, C., et al.. (2002). New simulator for Jose Cabrera Nuclear Power Plant. 224. 99–102. 2 indexed citations
19.
Pomar, C., D. L. Harris, Philippe Savoie, & Francis Minvielle. (1991). Computer simulation model of swine production systems: III. A dynamic herd simulation model including reproduction. Journal of Animal Science. 69(7). 2822–2836. 22 indexed citations
20.
Pomar, C., D. L. Harris, & Francis Minvielle. (1991). Computer simulation model of swine production systems: II. Modeling body composition and weight of female pigs, fetal development, milk production, and growth of suckling pigs.. Journal of Animal Science. 69(4). 1489–1489. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by J. Pomar Breakdown of academic impact, for papers by T. Scott Breakdown of academic impact, for papers by William R. Windham Breakdown of academic impact, for papers by S. D. M. Jones Breakdown of academic impact, for papers by Janet R. Donaldson Breakdown of academic impact, for papers by Takayoshi Aoki Breakdown of academic impact, for papers by Lizhi Wang Breakdown of academic impact, for papers by Jianwei Zhou Breakdown of academic impact, for papers by Óscar González-Recio Breakdown of academic impact, for papers by Tim Smith
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