Martin Lidauer

1.7k total citations
101 papers, 1.3k citations indexed

About

Martin Lidauer is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Martin Lidauer has authored 101 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Genetics, 43 papers in Agronomy and Crop Science and 38 papers in Animal Science and Zoology. Recurrent topics in Martin Lidauer's work include Genetic and phenotypic traits in livestock (80 papers), Effects of Environmental Stressors on Livestock (27 papers) and Genetic Mapping and Diversity in Plants and Animals (23 papers). Martin Lidauer is often cited by papers focused on Genetic and phenotypic traits in livestock (80 papers), Effects of Environmental Stressors on Livestock (27 papers) and Genetic Mapping and Diversity in Plants and Animals (23 papers). Martin Lidauer collaborates with scholars based in Finland, Denmark and Sweden. Martin Lidauer's co-authors include Esa Mäntysaari, Ismo Strandén, Päivi Mäntysaari, Peter Løvendahl, Jan Lassen, Bingjie Li, Jukka Pösö, Enyew Negussie, W.F. Fikse and Johanna Vilkki and has published in prestigious journals such as PLoS ONE, Genetics and Journal of Dairy Science.

In The Last Decade

Martin Lidauer

93 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Lidauer Finland 20 1.1k 716 400 272 138 101 1.3k
R.F. Veerkamp Netherlands 15 1.1k 1.0× 952 1.3× 440 1.1× 95 0.3× 70 0.5× 52 1.4k
G. Catillo Italy 20 725 0.6× 395 0.6× 347 0.9× 76 0.3× 103 0.7× 62 1.1k
J. Altarriba Spain 20 852 0.8× 283 0.4× 328 0.8× 165 0.6× 92 0.7× 54 1.1k
Éric Froidmont Belgium 19 568 0.5× 797 1.1× 566 1.4× 122 0.4× 119 0.9× 74 1.2k
Sara Pegolo Italy 21 586 0.5× 535 0.7× 344 0.9× 42 0.2× 90 0.7× 84 1.1k
Rostam Abdollahi-Arpanahi Iran 20 832 0.7× 300 0.4× 262 0.7× 284 1.0× 55 0.4× 54 1.1k
Jérémie Vandenplas Netherlands 19 814 0.7× 280 0.4× 329 0.8× 236 0.9× 134 1.0× 70 999
B. W. Woodward United States 15 558 0.5× 156 0.2× 211 0.5× 183 0.7× 45 0.3× 26 777
Mariasilvia D’Andrea Italy 16 600 0.5× 230 0.3× 183 0.5× 76 0.3× 37 0.3× 66 984
A. Albera Italy 18 541 0.5× 202 0.3× 430 1.1× 46 0.2× 67 0.5× 35 781

Countries citing papers authored by Martin Lidauer

Since Specialization
Citations

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

Fields of papers citing papers by Martin Lidauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Lidauer

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Lidauer. A scholar is included among the top collaborators of Martin Lidauer 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 Martin Lidauer. Martin Lidauer 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.
Koivula, Minna, Jukka Pösö, U. Nielsen, et al.. (2024). Single-step genomic prediction models for metabolic body weight in Nordic Holstein, Red dairy cattle, and Jersey. Jukuri (Luonnonvarakeskus Tietopalvelu).
2.
Lidauer, Martin, Enyew Negussie, Esa Mäntysaari, et al.. (2023). Estimating breeding values for feed efficiency in dairy cattle by regression on expected feed intake. animal. 17(9). 100917–100917. 5 indexed citations
4.
Tassell, Curtis P. Van, Jérémie Vandenplas, P.M. VanRaden, et al.. (2022). Invited review: Reliability computation from the animal model era to the single-step genomic model era. Journal of Dairy Science. 106(3). 1518–1532. 3 indexed citations
5.
Mäntysaari, Päivi, et al.. (2022). The relationships between early lactation energy status indicators and endocrine fertility traits in dairy cows. Journal of Dairy Science. 105(8). 6833–6844. 6 indexed citations
6.
Mäntysaari, Päivi, et al.. (2020). Genetic correlations between energy status indicator traits and female fertility in primiparous Nordic Red Dairy cattle. animal. 14(8). 1588–1597. 9 indexed citations
7.
Aernouts, Ben, Ines Adriaens, Wouter Saeys, et al.. (2020). Mid-infrared spectroscopic analysis of raw milk to predict the blood nonesterified fatty acid concentrations in dairy cows. Journal of Dairy Science. 103(7). 6422–6438. 17 indexed citations
8.
Lidauer, Martin, et al.. (2019). Genetic evaluation for maintenance - towards genomic breeding values for saved feed in Nordic Dairy Cattle.. Jukuri (Luonnonvarakeskus Tietopalvelu). 21–25. 6 indexed citations
9.
Løvendahl, Peter, Gareth F. Difford, Bingjie Li, et al.. (2018). Review: Selecting for improved feed efficiency and reduced methane emissions in dairy cattle. animal. 12(s2). s336–s349. 102 indexed citations
10.
Mäntysaari, Päivi, Tuomo Kokkonen, Sari Kajava, et al.. (2018). Developing an indicator for body fat mobilisation using mid-infrared spectrometry of milk samples in dairy cows. Open Repository and Bibliography (University of Liège). 225. 3 indexed citations
11.
VanRaden, P.M., et al.. (2017). Approximating genomic reliabilities for national genomic evaluation. Socio-Environmental Systems Modeling. 75–85. 15 indexed citations
12.
Tyrisevä, Anna-Maria, Esa Mäntysaari, J. Pösö, et al.. (2015). Genetic parameters for female fertility in Nordic dairy cattle. Jukuri (Natural Resources Institute Finland (Luke)). 32–35. 8 indexed citations
13.
Negussie, Enyew, Päivi Mäntysaari, Esa Mäntysaari, & Martin Lidauer. (2014). Animal wise Variation in Enteric Methane Output Traits and its Relationship with Feed Efficiency in Dairy Cattle: A Longitudinal Model Analysis. Proceedings of the World Congress on Genetics Applied to Livestock Production. 37. 3 indexed citations
14.
Madsen, Per, Jukka Pösö, Jørn Pedersen, Martin Lidauer, & Just Jensen. (2012). Screening for outliers in multiple trait genetic evaluation. Jukuri (Natural Resources Institute Finland (Luke)). 85–91. 3 indexed citations
15.
Madsen, Peder, Martin Lidauer, & Esa Mäntysaari. (2008). STRATEGY FOR ESTIMATION OF VARIANCE COMPONENTS FOR THE JOINT NORDIC YIELD EVALUATION. Jukuri (Natural Resources Institute Finland (Luke)). 38(38). 36–39. 3 indexed citations
16.
Strandén, Ismo, et al.. (2006). MiX99 - effective solver for large and complex linear mixed models.. Jukuri (Natural Resources Institute Finland (Luke)). 27–33. 18 indexed citations
17.
Mäntysaari, Esa, Martin Lidauer, Jukka Pösö, et al.. (2006). Joint Nordic Test Day Model: Variance Components. Jukuri (Natural Resources Institute Finland (Luke)). 97. 8 indexed citations
18.
Lidauer, Martin, Esa Mäntysaari, J. Pedersen, & Ismo Strandén. (2005). Model validation using individual daughter deviations - statistical power. Jukuri (Natural Resources Institute Finland (Luke)). 195. 3 indexed citations
19.
Pedersen, Jørn, U. Nielsen, Gert Pedersen Aamand, et al.. (2004). Joint Nordic test day model for milk production traits. Jukuri (Natural Resources Institute Finland (Luke)). 8. 2 indexed citations
20.
Lidauer, Martin, Esa Mäntysaari, Ismo Strandén, & Jukka Pösö. (2000). Multiple-trait random regression test-day model for all lactations. Jukuri (Natural Resources Institute Finland (Luke)). 81. 33 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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