Nicolas Bédère

722 total citations · 1 hit paper
18 papers, 445 citations indexed

About

Nicolas Bédère is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Nicolas Bédère has authored 18 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Animal Science and Zoology and 8 papers in Agronomy and Crop Science. Recurrent topics in Nicolas Bédère's work include Genetic and phenotypic traits in livestock (13 papers), Animal Nutrition and Physiology (7 papers) and Animal Behavior and Welfare Studies (7 papers). Nicolas Bédère is often cited by papers focused on Genetic and phenotypic traits in livestock (13 papers), Animal Nutrition and Physiology (7 papers) and Animal Behavior and Welfare Studies (7 papers). Nicolas Bédère collaborates with scholars based in France, Netherlands and Germany. Nicolas Bédère's co-authors include Luiz F. Brito, Francisco Peñagaricano, A. P. Schinckel, F. Miglior, Frédéric Douhard, Christine F. Baes, Hinayah Rojas de Oliveira, Guy Plantier, Aurélien Madouasse and Alain Chauvin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Dairy Science.

In The Last Decade

Nicolas Bédère

17 papers receiving 435 citations

Hit Papers

Review: Genetic selection of high-yielding dairy cattle t... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Bédère France 9 231 197 156 147 69 18 445
A. Menéndez‐Buxadera Spain 16 407 1.8× 315 1.6× 208 1.3× 113 0.8× 37 0.5× 64 625
István Komlósi Hungary 12 220 1.0× 184 0.9× 138 0.9× 63 0.4× 47 0.7× 74 453
Felipe Alonso Rodríguez-Almeida Mexico 11 230 1.0× 137 0.7× 131 0.8× 48 0.3× 55 0.8× 81 394
G.M. Terzano Italy 15 235 1.0× 153 0.8× 268 1.7× 66 0.4× 35 0.5× 49 441
Maria Norma Ribeiro Brazil 17 489 2.1× 339 1.7× 272 1.7× 85 0.6× 65 0.9× 89 746
T. Pabiou Ireland 15 455 2.0× 222 1.1× 263 1.7× 74 0.5× 19 0.3× 51 561
Pranay Bharti India 6 113 0.5× 386 2.0× 168 1.1× 96 0.7× 33 0.5× 11 491
Jennifer M Bormann United States 14 418 1.8× 220 1.1× 323 2.1× 68 0.5× 21 0.3× 41 586
R. Prendiville Ireland 12 362 1.6× 175 0.9× 443 2.8× 84 0.6× 38 0.6× 25 602
M.V. Silpa India 9 106 0.5× 276 1.4× 62 0.4× 53 0.4× 37 0.5× 29 417

Countries citing papers authored by Nicolas Bédère

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Bédère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Bédère

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

All Works

18 of 18 papers shown
1.
Bédère, Nicolas. (2025). Advancing sustainable aquaculture: behavioral insights for climate-change resilient fishes. SPIRE - Sciences Po Institutional REpository.
2.
Bédère, Nicolas, Joëlle Dupont, Christophe Staub, et al.. (2024). Genetic background of body reserves in laying hens through backfat thickness phenotyping. SHILAP Revista de lepidopterología. 4. 1 indexed citations
3.
Berghof, T.V.L., Nicolas Bédère, Katrijn Peeters, et al.. (2024). The genetics of resilience and its relationships with egg production traits and antibody traits in chickens. Genetics Selection Evolution. 56(1). 20–20. 3 indexed citations
4.
Delaby, Luc, et al.. (2024). Association between body condition profiles, milk production, and reproduction performance in Holstein and Normande cows. Journal of Dairy Science. 107(12). 11621–11638. 1 indexed citations
5.
Bédère, Nicolas, et al.. (2023). Nest preference and laying duration traits to select against floor eggs in laying hens. Genetics Selection Evolution. 55(1). 8–8. 9 indexed citations
6.
Bédère, Nicolas, et al.. (2023). Egg production in nests and nesting behaviour: genetic correlations with egg quality and BW for laying hens on the floor. animal. 17(10). 100958–100958. 4 indexed citations
7.
Bédère, Nicolas, T.V.L. Berghof, Katrijn Peeters, et al.. (2022). Using egg production longitudinal recording to study the genetic background of resilience in purebred and crossbred laying hens. Genetics Selection Evolution. 54(1). 26–26. 27 indexed citations
8.
Bédère, Nicolas, et al.. (2021). Nest acceptance, clutch, and oviposition traits are promising selection criteria to improve egg production in cage-free system. PLoS ONE. 16(5). e0251037–e0251037. 10 indexed citations
9.
Brito, Luiz F., Nicolas Bédère, Frédéric Douhard, et al.. (2021). Review: Genetic selection of high-yielding dairy cattle toward sustainable farming systems in a rapidly changing world. animal. 15. 100292–100292. 183 indexed citations breakdown →
10.
Cozler, Yannick Le, et al.. (2021). Effects of feeding treatment on growth rate and performance of primiparous Holstein dairy heifers. SHILAP Revista de lepidopterología. 1. 1 indexed citations
11.
Bédère, Nicolas, et al.. (2021). Sélection sur la ponte des poules en systèmes alternatifs à la cage. INRAE Productions Animales. 2 indexed citations
12.
Riaboff, Lucile, Sylvain Poggi, Aurélien Madouasse, et al.. (2020). Development of a methodological framework for a robust prediction of the main behaviours of dairy cows using a combination of machine learning algorithms on accelerometer data. Computers and Electronics in Agriculture. 169. 105179–105179. 77 indexed citations
13.
Riaboff, Lucile, Nicolas Bédère, Sébastien Couvreur, et al.. (2019). Evaluation of pre-processing methods for the prediction of cattle behaviour from accelerometer data. Computers and Electronics in Agriculture. 165. 104961–104961. 56 indexed citations
14.
Bédère, Nicolas, Erwan Cutullic, Luc Delaby, Florence Garcia-Launay, & Catherine Disenhaus. (2018). Meta-analysis of the relationships between reproduction, milk yield and body condition score in dairy cows. Livestock Science. 210. 73–84. 39 indexed citations
15.
Bédère, Nicolas, et al.. (2017). Ability of dairy cows to ensure pregnancy according to breed and genetic merit for production traits under contrasted pasture-based systems. Journal of Dairy Science. 100(4). 2812–2827. 12 indexed citations
16.
Bédère, Nicolas & Henk Bovenhuis. (2017). Characterizing a region on BTA11 affecting β-lactoglobulin content of milk using high-density genotyping and haplotype grouping. BMC Genetics. 18(1). 4 indexed citations
18.
Bédère, Nicolas, et al.. (2015). Toward improved postpartum cyclicity of primiparous dairy cows: Effects of genetic merit for production traits under contrasting feeding systems. Journal of Dairy Science. 99(2). 1266–1276. 6 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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