M.L. van Pelt

716 total citations
26 papers, 456 citations indexed

About

M.L. van Pelt is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, M.L. van Pelt has authored 26 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 15 papers in Agronomy and Crop Science and 14 papers in Animal Science and Zoology. Recurrent topics in M.L. van Pelt's work include Genetic and phenotypic traits in livestock (21 papers), Effects of Environmental Stressors on Livestock (13 papers) and Reproductive Physiology in Livestock (13 papers). M.L. van Pelt is often cited by papers focused on Genetic and phenotypic traits in livestock (21 papers), Effects of Environmental Stressors on Livestock (13 papers) and Reproductive Physiology in Livestock (13 papers). M.L. van Pelt collaborates with scholars based in Netherlands, Belgium and United States. M.L. van Pelt's co-authors include R.F. Veerkamp, H.A. Mulder, M. Poppe, G. de Jong, B.J. Ducro, C. Kamphuis, Ioannis N. Athanasiadis, T.H.E. Meuwissen, C.R. Staples and Erik Mullaart and has published in prestigious journals such as Journal of Dairy Science, Computers and Electronics in Agriculture and Preventive Veterinary Medicine.

In The Last Decade

M.L. van Pelt

26 papers receiving 443 citations

Peers

M.L. van Pelt

GENET

ASZ

ACS

Nicolas Bédère France

T. Pabiou Ireland

J. I. Urioste Uruguay

Phillip A. Lancaster United States

Rodrigo Pelicioni Savegnago Brazil

Marja-Liisa Sevón-Aimonen Finland

István Komlósi Hungary

Stephen Conroy Ireland

M.A. Varner United States

Dagnachew Hailemariam Canada

Nicolas Bédère France

M.L. van Pelt

231 ×0.7

GENET

197 ×0.8

ASZ

156 ×0.9

ACS

147 ×1.1

40 ×0.9

Citations per year, relative to M.L. van Pelt M.L. van Pelt (= 1×) peers Nicolas Bédère

Countries citing papers authored by M.L. van Pelt

Since Specialization

Citations

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

Fields of papers citing papers by M.L. van Pelt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.L. van Pelt. 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 M.L. van Pelt. The network helps show where M.L. van Pelt may publish in the future.

Co-authorship network of co-authors of M.L. van Pelt

This figure shows the co-authorship network connecting the top 25 collaborators of M.L. van Pelt. A scholar is included among the top collaborators of M.L. van Pelt 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 M.L. van Pelt. M.L. van Pelt 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

Vandenplas, Jérémie, et al.. (2024). Genetic analysis of the impact of heat stress on fertility traits in dairy cows in the Netherlands. Journal of Dairy Science. 108(2). 1699–1713. 1 indexed citations

Soyeurt, Hélène, Xiao‐Lin Wu, Clément Grelet, et al.. (2023). Imputation of missing milk Fourier transform mid-infrared spectra using existing milk spectral databases: A strategy to improve the reliability of breeding values and predictive models. Journal of Dairy Science. 106(12). 9095–9104. 2 indexed citations

Poppe, M., H.A. Mulder, M.L. van Pelt, et al.. (2022). Development of resilience indicator traits based on daily step count data for dairy cattle breeding. Genetics Selection Evolution. 54(1). 21–21. 21 indexed citations

Poppe, M., et al.. (2020). Genetic analysis of resilience indicators based on milk yield records in different lactations and at different lactation stages. Journal of Dairy Science. 104(2). 1967–1981. 40 indexed citations

Eetvelde, M. Van, et al.. (2020). A large-scale study on the effect of age at first calving, dam parity, and birth and calving month on first-lactation milk yield in Holstein Friesian dairy cattle. Journal of Dairy Science. 103(12). 11515–11523. 18 indexed citations

Veerkamp, R.F., et al.. (2019). Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle. Journal of Dairy Science. 102(10). 9409–9421. 53 indexed citations

Veerkamp, R.F., et al.. (2019). Predicting survival in dairy cattle by combining genomic breeding values and phenotypic information. Journal of Dairy Science. 103(1). 556–571. 11 indexed citations

Poppe, M., R.F. Veerkamp, M.L. van Pelt, & H.A. Mulder. (2019). Exploration of variance, autocorrelation, and skewness of deviations from lactation curves as resilience indicators for breeding. Journal of Dairy Science. 103(2). 1667–1684. 122 indexed citations

Pelt, M.L. van, et al.. (2016). Genotype by environment interaction for production, somatic cell score, workability, and conformation traits in Dutch Holstein-Friesian cows between farms with or without grazing. Journal of Dairy Science. 99(6). 4496–4503. 18 indexed citations

10.

Pelt, M.L. van, G. de Jong, & R.F. Veerkamp. (2016). Changes in the genetic level and the effects of age at first calving and milk production on survival during the first lactation over the last 25 years. animal. 10(12). 2043–2050. 14 indexed citations

11.

Pelt, M.L. van, T.H.E. Meuwissen, G. de Jong, & R.F. Veerkamp. (2015). Genetic analysis of longevity in Dutch dairy cattle using random regression. Journal of Dairy Science. 98(6). 4117–4130. 40 indexed citations

12.

Manzanilla-Pech, C.I.V., R.F. Veerkamp, Robert J. Tempelman, et al.. (2015). Genetic parameters between feed-intake-related traits and conformation in 2 separate dairy populations—the Netherlands and United States. Journal of Dairy Science. 99(1). 443–457. 48 indexed citations

13.

Pelt, M.L. van & R.F. Veerkamp. (2014). Genetic Analysis of Longevity in Dutch Dairy Cattle using Random Regression. Data Archiving and Networked Services (DANS). 295. 1 indexed citations

14.

Eding, H., et al.. (2013). Using Pseudo-Observations to Combine Genomic and Conventional Data in the Dutch-Flemish National Evaluation. Bulletin - International Bull Evaluation Service/Interbull bulletin. 106–110. 5 indexed citations

15.

Pelt, M.L. van & G. de Jong. (2011). Genetic evaluation for direct and maternal livability in The Netherlands. Bulletin - International Bull Evaluation Service/Interbull bulletin. 8 indexed citations

16.

Jong, G. de, et al.. (2010). Implementation of a claw health index in The Netherlands. Bulletin - International Bull Evaluation Service/Interbull bulletin. 95. 15 indexed citations

17.

Haer, L. C. M. de, et al.. (2010). Investigation of interval first to last insemination for dairy cattle in The Netherlands. Bulletin - International Bull Evaluation Service/Interbull bulletin. 100. 2 indexed citations

18.

Pelt, M.L. van, et al.. (2009). Analysis of calving traits with a multitrait animal model with a correlated direct and maternal effect. Bulletin - International Bull Evaluation Service/Interbull bulletin. 138. 3 indexed citations

19.

Kanis, E., et al.. (2006). Is within-family variation in carcass weight of pigs heritable?. Socio-Environmental Systems Modeling. 2006. 6–23. 2 indexed citations

20.

Pelt, M.L. van, et al.. (2006). Consistency of conformation trait definitions across time. Bulletin - International Bull Evaluation Service/Interbull bulletin. 159. 1 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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