B.L. Harris

2.2k total citations
73 papers, 1.6k citations indexed

About

B.L. Harris is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, B.L. Harris has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Genetics, 32 papers in Agronomy and Crop Science and 12 papers in Animal Science and Zoology. Recurrent topics in B.L. Harris's work include Genetic and phenotypic traits in livestock (64 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Ruminant Nutrition and Digestive Physiology (19 papers). B.L. Harris is often cited by papers focused on Genetic and phenotypic traits in livestock (64 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Ruminant Nutrition and Digestive Physiology (19 papers). B.L. Harris collaborates with scholars based in New Zealand, United States and Ireland. B.L. Harris's co-authors include D. L. Johnson, J.E. Pryce, E.S. Kolver, A.E. Freeman, A M Winkelman, Michael Keehan, Richard Spelman, Stephen R. Davis, Mathew D. Littlejohn and D.P. Berry and has published in prestigious journals such as Nature Genetics, Journal of Geophysical Research Atmospheres and Scientific Reports.

In The Last Decade

B.L. Harris

71 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B.L. Harris New Zealand 22 1.4k 702 335 299 158 73 1.6k
J. Altarriba Spain 20 852 0.6× 283 0.4× 328 1.0× 165 0.6× 90 0.6× 54 1.1k
A. Nejati‐Javaremi Iran 17 1.0k 0.7× 400 0.6× 291 0.9× 217 0.7× 168 1.1× 62 1.3k
Ezequiel Luís Nicolazzi Italy 20 1.1k 0.8× 355 0.5× 187 0.6× 235 0.8× 231 1.5× 60 1.3k
Hélène Larroque France 18 665 0.5× 427 0.6× 223 0.7× 151 0.5× 63 0.4× 45 960
Amir Rashidi Iran 17 872 0.6× 519 0.7× 230 0.7× 171 0.6× 61 0.4× 49 967
Pauline Martin France 15 653 0.5× 484 0.7× 231 0.7× 62 0.2× 83 0.5× 42 887
F Reinhardt Germany 22 1.2k 0.9× 470 0.7× 256 0.8× 350 1.2× 113 0.7× 71 1.3k
J. Pedersen Denmark 20 870 0.6× 616 0.9× 267 0.8× 408 1.4× 39 0.2× 46 1.4k
Mengistie Taye Ethiopia 15 476 0.3× 276 0.4× 153 0.5× 71 0.2× 99 0.6× 70 700
Jeffrey F. Keown United States 21 812 0.6× 671 1.0× 299 0.9× 144 0.5× 33 0.2× 52 1.1k

Countries citing papers authored by B.L. Harris

Since Specialization
Citations

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

Fields of papers citing papers by B.L. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.L. Harris. 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 B.L. Harris. The network helps show where B.L. Harris may publish in the future.

Co-authorship network of co-authors of B.L. Harris

This figure shows the co-authorship network connecting the top 25 collaborators of B.L. Harris. A scholar is included among the top collaborators of B.L. Harris 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 B.L. Harris. B.L. Harris 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.
Wang, Y., Kathryn Tiplady, Chad Harland, et al.. (2023). Identification of candidate novel production variants on the Bos taurus chromosome X. Journal of Dairy Science. 106(11). 7799–7815. 2 indexed citations
2.
Tiplady, Kathryn, Thomas Lopdell, Richard G. Sherlock, et al.. (2022). Comparison of the genetic characteristics of directly measured and Fourier-transform mid-infrared-predicted bovine milk fatty acids and proteins. Journal of Dairy Science. 105(12). 9763–9791. 11 indexed citations
3.
Harris, B.L.. (2014). Across-breed genomic prediction in dairy cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 66. 2 indexed citations
4.
Harris, B.L., A M Winkelman, & D. L. Johnson. (2013). Impact of Including a Large Number of Female Genotypes on Genomic Selection. Bulletin - International Bull Evaluation Service/Interbull bulletin. 23–27. 6 indexed citations
5.
Harris, B.L., A M Winkelman, & D. L. Johnson. (2012). Large-Scale Single-Step Genomic Evaluation for Milk Production Traits. Bulletin - International Bull Evaluation Service/Interbull bulletin. 20–24. 10 indexed citations
6.
Winkelman, A M, et al.. (2010). Enhancement of Calving Difficulty Breeding Values in New Zealand. Bulletin - International Bull Evaluation Service/Interbull bulletin. 91. 2 indexed citations
7.
Harris, B.L. & D. L. Johnson. (2010). The Impact of High Density SNP chips on Genomic Evaluation in Dairy Cattle. Bulletin - International Bull Evaluation Service/Interbull bulletin. 40. 20 indexed citations
8.
Harris, B.L., et al.. (2009). Current status of the use of genomic information in the national genetic evaluation in New Zealand. Bulletin - International Bull Evaluation Service/Interbull bulletin. 35. 6 indexed citations
9.
Harris, B.L., et al.. (2007). Multiple trait national genetic evaluation for cow longevity. Proceedings of the New Zealand Society of Animal Production. 67. 377–381. 2 indexed citations
10.
Johnson, D. L. & B.L. Harris. (2006). A mixed model approach for fine mapping quantitative trait loci optimising over a set of disequilibrium parameters.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 1 indexed citations
11.
Harris, B.L., et al.. (2006). Development of new fertility breeding values in the dairy industry. Proceedings of the New Zealand Society of Animal Production. 66. 107–112. 17 indexed citations
12.
Harris, B.L., et al.. (2005). National genetic evaluation for somatic cell score. Proceedings of the New Zealand Society of Animal Production. 65. 59–62. 3 indexed citations
13.
Harris, B.L., et al.. (2005). Fertility breeding values in New Zealand, the next generation. Bulletin - International Bull Evaluation Service/Interbull bulletin. 47. 14 indexed citations
14.
Johnson, D. L., et al.. (2005). Moving from BLUP to marker-assisted BLUP for genetic evaluations. Bulletin - International Bull Evaluation Service/Interbull bulletin. 151. 1 indexed citations
15.
Pryce, J.E. & B.L. Harris. (2004). Genetic and economic evaluation of dairy cow body condition score in New Zealand. Bulletin - International Bull Evaluation Service/Interbull bulletin. 82. 8 indexed citations
16.
Harris, B.L. & A M Winkelman. (2004). Test-day model for national genetic evaluation of somatic cell count in New Zealand. Bulletin - International Bull Evaluation Service/Interbull bulletin. 101. 7 indexed citations
17.
Harris, B.L., et al.. (1998). Information source reliability method applied to MACE. Bulletin - International Bull Evaluation Service/Interbull bulletin. 81. 17 indexed citations
18.
Harris, B.L.. (1989). New Zealand dairy cow removal reasons and survival rate. New Zealand Journal of Agricultural Research. 32(3). 355–358. 15 indexed citations
19.
Harris, B.L.. (1989). Heritability and economics of survival rate. New Zealand Journal of Agricultural Research. 32(3). 359–363. 3 indexed citations
20.
Braun, R., G.A. Donovan, T.Q. Tran, et al.. (1986). Body condition scoring dairy cows as a herd management tool. Compendium on Continuing Education for The Practicing Veterinarian. 8(10). 62–636567. 14 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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