Rob Bergsma

1.2k total citations
37 papers, 778 citations indexed

About

Rob Bergsma is a scholar working on Animal Science and Zoology, Small Animals and Genetics. According to data from OpenAlex, Rob Bergsma has authored 37 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Animal Science and Zoology, 25 papers in Small Animals and 24 papers in Genetics. Recurrent topics in Rob Bergsma's work include Animal Behavior and Welfare Studies (25 papers), Genetic and phenotypic traits in livestock (24 papers) and Animal Nutrition and Physiology (23 papers). Rob Bergsma is often cited by papers focused on Animal Behavior and Welfare Studies (25 papers), Genetic and phenotypic traits in livestock (24 papers) and Animal Nutrition and Physiology (23 papers). Rob Bergsma collaborates with scholars based in Netherlands, France and Brazil. Rob Bergsma's co-authors include E.F. Knol, E. Kanis, Piter Bijma, M.P.L. Calus, M.W.A. Verstegen, Claudia A. Sevillano, Hélène Gilbert, J.W.M. Bastiaansen, Jérémie Vandenplas and C.M.C. van der Peet–Schwering and has published in prestigious journals such as Genetics, Journal of Animal Science and Meat Science.

In The Last Decade

Rob Bergsma

34 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rob Bergsma Netherlands 17 442 424 364 87 83 37 778
Susanne Hermesch Australia 18 773 1.7× 654 1.5× 585 1.6× 94 1.1× 49 0.6× 104 1.1k
Naomi Duijvesteijn Netherlands 19 269 0.6× 769 1.8× 189 0.5× 44 0.5× 97 1.2× 38 953
Ingrid David France 16 244 0.6× 326 0.8× 146 0.4× 41 0.5× 43 0.5× 61 655
Ewa Sell‐Kubiak Poland 12 211 0.5× 282 0.7× 162 0.4× 31 0.4× 46 0.6× 38 471
T. Serenius United States 22 654 1.5× 697 1.6× 621 1.7× 38 0.4× 53 0.6× 38 1.1k
Carole Moréno France 17 163 0.4× 405 1.0× 232 0.6× 86 1.0× 178 2.1× 31 721
J. C. Greeff Australia 16 299 0.7× 627 1.5× 215 0.6× 40 0.5× 57 0.7× 71 856
Justin Holl United States 15 529 1.2× 447 1.1× 412 1.1× 46 0.5× 48 0.6× 41 775
Gérard Bolet France 15 576 1.3× 267 0.6× 148 0.4× 60 0.7× 40 0.5× 45 836
A. A. do Egito Brazil 17 250 0.6× 636 1.5× 74 0.2× 37 0.4× 93 1.1× 64 882

Countries citing papers authored by Rob Bergsma

Since Specialization
Citations

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

Fields of papers citing papers by Rob Bergsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rob Bergsma

This figure shows the co-authorship network connecting the top 25 collaborators of Rob Bergsma. A scholar is included among the top collaborators of Rob Bergsma 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 Rob Bergsma. Rob Bergsma 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.
Yang, Chengbo, Martin Nyachoti, Hulong Lei, et al.. (2024). Pork carcass composition, meat and belly qualities as influenced by feed efficiency selection in replacement boars from Large White sire and dam lines. Meat Science. 210. 109423–109423. 3 indexed citations
2.
Madsen, Ole, Jerry M. Wells, Rob Bergsma, et al.. (2024). Transcriptomic analysis of intestinal organoids, derived from pigs divergent in feed efficiency, and their response to Escherichia coli. BMC Genomics. 25(1). 173–173.
3.
Napel, J. ten, et al.. (2023). Impact of genomic preselection on subsequent ssGBLUP evaluation of preselected animals for scarcely recorded feed intake in pigs. Journal of Animal Breeding and Genetics. 140(3). 253–263. 2 indexed citations
4.
González, Pablo, José Ramón Quevedo, Elena Montañés, et al.. (2023). Impact of multi‐output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms. Journal of Animal Breeding and Genetics. 140(6). 638–652. 1 indexed citations
5.
Vandenplas, Jérémie, et al.. (2022). Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP using real data from pigs. Genetics Selection Evolution. 54(1). 48–48. 3 indexed citations
6.
Vandenplas, Jérémie, et al.. (2021). Convergence behavior of single-step GBLUP and SNPBLUP for different termination criteria. Genetics Selection Evolution. 53(1). 34–34. 2 indexed citations
7.
Schokker, Dirkjan, Rob Bergsma, Jaap J. van Milgen, et al.. (2021). Variation in faecal digestibility values related to feed efficiency traits of grower-finisher pigs. animal. 15(9). 100211–100211. 5 indexed citations
8.
Piles, Miriam, Rob Bergsma, Daniel Gianola, Hélène Gilbert, & Llibertat Tusell. (2021). Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning. Frontiers in Genetics. 12. 611506–611506. 37 indexed citations
9.
10.
Schokker, Dirkjan, et al.. (2019). Prediction of nutrient digestibility in grower‐finisher pigs based on faecal microbiota composition. Journal of Animal Breeding and Genetics. 137(1). 23–35. 14 indexed citations
11.
Bergsma, Rob, et al.. (2018). Genotype by feed interaction in grower-finisher pigs fed different diets. Proceedings of the World Congress on Genetics Applied to Livestock Production. 244. 2 indexed citations
12.
Sevillano, Claudia A., Jérémie Vandenplas, J.W.M. Bastiaansen, Rob Bergsma, & M.P.L. Calus. (2017). Genomic evaluation for a three-way crossbreeding system considering breed-of-origin of alleles. Genetics Selection Evolution. 49(1). 75–75. 51 indexed citations
13.
14.
Camerlink, Irene, Rob Bergsma, Naomi Duijvesteijn, J.E. Bolhuis, & Piter Bijma. (2010). Consequences Of Selection For Social Genetic Effects On ADG In Finishing Pigs - A Pilot Study. Socio-Environmental Systems Modeling. 595. 1 indexed citations
15.
Rodenburg, T.B., Piter Bijma, Rob Bergsma, et al.. (2010). Breeding amiable animals? Improving farm animal welfare by including social effects in breeding programmes. Animal Welfare. 19(S1). 77–82. 48 indexed citations
16.
Bouwman, A.C., Rob Bergsma, Naomi Duijvesteijn, & Piter Bijma. (2010). Maternal and social genetic effects on average daily gain of piglets from birth until weaning1. Journal of Animal Science. 88(9). 2883–2892. 33 indexed citations
17.
Bergsma, Rob. (2009). Effect Of Selection For Residual Feed Intake On Sow Reproductive Performance And Lactation Efficiency. 6 indexed citations
18.
Leenhouwers, J.I., Rob Bergsma, E.F. Knol, & H. Feitsma. (2008). Genetic Parameters for Fertility of Boars and Impact of Selection against Boar Taint. Reproduction in Domestic Animals. 43. 100–100. 2 indexed citations
19.
Bergsma, Rob, E. Kanis, M.W.A. Verstegen, & E.F. Knol. (2008). Genetic parameters and predicted selection results for maternal traits related to lactation efficiency in sows. Journal of Animal Science. 86(5). 1067–1080. 46 indexed citations
20.
Rens, B.T.T.M. van, et al.. (2005). Preweaning piglet mortality in relation to placental efficiency1. Journal of Animal Science. 83(1). 144–151. 47 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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