A.C. Bouwman

2.1k total citations
48 papers, 1.0k citations indexed

About

A.C. Bouwman is a scholar working on Genetics, Plant Science and Agronomy and Crop Science. According to data from OpenAlex, A.C. Bouwman has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 13 papers in Plant Science and 8 papers in Agronomy and Crop Science. Recurrent topics in A.C. Bouwman's work include Genetic and phenotypic traits in livestock (33 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Animal Nutrition and Physiology (7 papers). A.C. Bouwman is often cited by papers focused on Genetic and phenotypic traits in livestock (33 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers) and Animal Nutrition and Physiology (7 papers). A.C. Bouwman collaborates with scholars based in Netherlands, Denmark and United Kingdom. A.C. Bouwman's co-authors include R.F. Veerkamp, J.A.M. van Arendonk, M.H.P.W. Visker, Henk Bovenhuis, C. Schrooten, M.P.L. Calus, Jeanine J. Houwing‐Duistermaat, J. Hickey, H.A. Mulder and B. Berglund and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Genome Research.

In The Last Decade

A.C. Bouwman

46 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A.C. Bouwman Netherlands	20	895	277	230	198	161	48	1.0k
Gregório Miguel Ferreira de Camargo Brazil	19	1.0k 1.1×	436 1.6×	124 0.5×	254 1.3×	252 1.6×	91	1.2k
Rostam Abdollahi-Arpanahi Iran	20	832 0.9×	300 1.1×	284 1.2×	142 0.7×	262 1.6×	54	1.1k
Yoshinobu Uemoto Japan	22	977 1.1×	163 0.6×	122 0.5×	234 1.2×	521 3.2×	95	1.3k
Hélène Larroque France	18	665 0.7×	427 1.5×	151 0.7×	63 0.3×	223 1.4×	45	960
B. E. Harrison Australia	17	801 0.9×	165 0.6×	151 0.7×	193 1.0×	284 1.8×	24	1.0k
Nina Schulman Finland	13	816 0.9×	315 1.1×	183 0.8×	181 0.9×	96 0.6×	18	930
Aroa Suárez‐Vega Spain	17	607 0.7×	231 0.8×	50 0.2×	273 1.4×	113 0.7×	57	812
Coralie M. Reich Australia	15	1.1k 1.2×	305 1.1×	342 1.5×	203 1.0×	232 1.4×	22	1.3k
Maria Gabriela Campolina Diniz Peixoto Brazil	16	549 0.6×	314 1.1×	123 0.5×	34 0.2×	171 1.1×	77	747
L. Andersson‐Eklund Sweden	13	1.0k 1.1×	177 0.6×	322 1.4×	125 0.6×	227 1.4×	23	1.2k

Countries citing papers authored by A.C. Bouwman

Since Specialization

Citations

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

Fields of papers citing papers by A.C. Bouwman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.C. Bouwman

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

All Works

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20 of 20 papers shown

Bouwman, A.C., et al.. (2025). Comparative evaluation of phenotypic, pedigree, and family-based selection in insect breeding using stochastic simulation. animal. 19(4). 101475–101475. 2 indexed citations

Sandrock, Christoph, Eli Sellem, Michael Smith, et al.. (2025). BugBook: Genetics of insects as food and feed. Journal of Insects as Food and Feed. 11(18). 397–455.

Hulsegge, Ina, A.C. Bouwman, & Martijn F. L. Derks. (2024). genomeprofile: Unveiling the genomic profile for livestock breeding through comprehensive SNP array‐based genotyping. Animal Genetics. 55(5). 793–797.

Cai, Zexi, Terhi Iso‐Touru, Marie-Pierre Sanchez, et al.. (2024). Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance. Genetics Selection Evolution. 56(1). 54–54. 13 indexed citations

Bouwman, A.C., Ina Hulsegge, Rachel Hawken, et al.. (2023). Classifying aneuploidy in genotype intensity data using deep learning. Journal of Animal Breeding and Genetics. 140(3). 304–315. 5 indexed citations

Sahana, Goutam, Zexi Cai, Marie-Pierre Sanchez, A.C. Bouwman, & Didier Boichard. (2023). Invited review: Good practices in genome-wide association studies to identify candidate sequence variants in dairy cattle. Journal of Dairy Science. 106(8). 5218–5241. 22 indexed citations

Bouwman, A.C. & Erik Mullaart. (2023). Screening of in vitro-produced cattle embryos to assess incidence and characteristics of unbalanced chromosomal aberrations. SHILAP Revista de lepidopterología. 4(2). 101–105. 7 indexed citations

Fodor, István, et al.. (2023). Automated pose estimation reveals walking characteristics associated with lameness in broilers. Poultry Science. 102(8). 102787–102787. 17 indexed citations

Kootstra, Gert, et al.. (2022). Passive radio frequency identification and video tracking for the determination of location and movement of broilers. Poultry Science. 102(3). 102412–102412. 10 indexed citations

10.

Lee, Young-Lim, Haruko Takeda, Gabriel Costa Monteiro Moreira, et al.. (2021). A 12 kb multi-allelic copy number variation encompassing a GC gene enhancer is associated with mastitis resistance in dairy cattle. PLoS Genetics. 17(7). e1009331–e1009331. 34 indexed citations

11.

Bouwman, A.C., Martijn F. L. Derks, M. L. W. J. Broekhuijse, B. Harlizius, & R.F. Veerkamp. (2020). Using short read sequencing to characterise balanced reciprocal translocations in pigs. BMC Genomics. 21(1). 576–576. 6 indexed citations

12.

Binsbergen, R. van, A.C. Bouwman, & R.F. Veerkamp. (2019). Genetic parameters for atypical reproductive patterns in dairy cows estimated from in-line milk progesterone profiles. Journal of Dairy Science. 102(12). 11104–11115. 3 indexed citations

13.

Bouwman, A.C., et al.. (2018). Improving accuracy of bulls' predicted genomic breeding values for fertility using daughters' milk progesterone profiles. Journal of Dairy Science. 101(6). 5177–5193. 5 indexed citations

14.

Calus, M.P.L., A.C. Bouwman, C. Schrooten, & R.F. Veerkamp. (2016). Efficient genomic prediction based on whole-genome sequence data using split-and-merge Bayesian variable selection. Genetics Selection Evolution. 48(1). 49–49. 41 indexed citations

15.

Bouwman, A.C., R.F. Veerkamp, H.H.E. van Zanten, et al.. (2015). Meta-analysis of GWAS of bovine stature with >50,000 animals imputed to whole-genome sequence. Socio-Environmental Systems Modeling. 1 indexed citations

16.

Bouwman, A.C. & R.F. Veerkamp. (2014). Consequences of Splitting Sequencing Effort over Multiple Breeds on Imputation Accuracy. Socio-Environmental Systems Modeling. 177. 1 indexed citations

17.

Calus, M.P.L., A.C. Bouwman, J. Hickey, R.F. Veerkamp, & H.A. Mulder. (2014). Evaluation of measures of correctness of genotype imputation in the context of genomic prediction: a review of livestock applications. animal. 8(11). 1743–1753. 66 indexed citations

18.

Bouwman, A.C., M.H.P.W. Visker, J.A.M. van Arendonk, & Henk Bovenhuis. (2013). Fine mapping of a quantitative trait locus for bovine milk fat composition on Bos taurus autosome 19. Journal of Dairy Science. 97(2). 1139–1149. 20 indexed citations

19.

Bouwman, A.C., Henk Bovenhuis, M.H.P.W. Visker, & J.A.M. van Arendonk. (2011). Genome-wide association of milk fatty acids in Dutch dairy cattle. BMC Genetics. 12(1). 43–43. 132 indexed citations

20.

Bouwman, A.C., G.C.B. Schopen, H. Bovenhuis, M.H.P.W. Visker, & J.A.M. van Arendonk. (2010). Genome-wide scan to detect quantitative trait loci for milk urea nitrogen in Dutch Holstein-Friesian cows. Journal of Dairy Science. 93(7). 3310–3319. 13 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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