L. Gruber

1.4k total citations · 1 hit paper
47 papers, 1.0k citations indexed

About

L. Gruber is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, L. Gruber has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Agronomy and Crop Science, 26 papers in Genetics and 9 papers in Animal Science and Zoology. Recurrent topics in L. Gruber's work include Ruminant Nutrition and Digestive Physiology (31 papers), Genetic and phenotypic traits in livestock (26 papers) and Reproductive Physiology in Livestock (21 papers). L. Gruber is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (31 papers), Genetic and phenotypic traits in livestock (26 papers) and Reproductive Physiology in Livestock (21 papers). L. Gruber collaborates with scholars based in Austria, Italy and Germany. L. Gruber's co-authors include Thomas Amon, Barbara Amon, Werner Zollitsch, V. Kryvoruchko, Qendrim Zebeli, A. Khol‐Parisini, Elke Humer, Barbara U. Metzler-Zebeli, M. Spanghero and C. Egger-Danner and has published in prestigious journals such as PLoS ONE, Journal of Nutrition and Journal of Dairy Science.

In The Last Decade

L. Gruber

45 papers receiving 980 citations

Hit Papers

Biogas production from ma... 2006 2026 2012 2019 2006 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Biogas production from maize and dairy cattle manure—Influence of biomass composition on the methane yield
    2006 515 citations L. Gruber et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
L. Gruber 557 364 266 228 151 47 1.0k
J. P. Frost 286 0.5× 460 1.3× 241 0.9× 77 0.3× 81 0.5× 28 1.2k
A.H. van Gelder 799 1.4× 100 0.3× 132 0.5× 179 0.8× 294 1.9× 50 1.3k
F. Weißbach 432 0.8× 117 0.3× 83 0.3× 94 0.4× 139 0.9× 83 778
H.R. Isaacson 269 0.5× 170 0.5× 83 0.3× 85 0.4× 42 0.3× 14 533
Seija Jaakkola 2.2k 3.9× 85 0.2× 146 0.5× 831 3.6× 494 3.3× 96 2.7k
Le Dinh Phung 72 0.1× 106 0.3× 106 0.4× 85 0.4× 215 1.4× 45 804
W. P. McCaughey 952 1.7× 47 0.1× 75 0.3× 136 0.6× 135 0.9× 48 1.5k
Marco Antônio Previdelli Orrico 143 0.3× 165 0.5× 72 0.3× 31 0.1× 69 0.5× 88 598
I.K. Hindrichsen 674 1.2× 89 0.2× 46 0.2× 126 0.6× 130 0.9× 22 873
Elisabetta Riva 114 0.2× 87 0.2× 49 0.2× 96 0.4× 347 2.3× 49 817

Countries citing papers authored by L. Gruber

Since Specialization
Citations

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

Fields of papers citing papers by L. Gruber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Gruber

This figure shows the co-authorship network connecting the top 25 collaborators of L. Gruber. A scholar is included among the top collaborators of L. Gruber 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 L. Gruber. L. Gruber 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
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Gruber, L., et al.. (2019). Analysis of lactating cows on commercial Austrian dairy farms: the influence of genotype and body weight on efficiency parameters. Archives animal breeding/Archiv für Tierzucht. 62(2). 491–500. 10 indexed citations
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Gruber, L., et al.. (2018). Body weight prediction using body size measurements in Fleckvieh, Holstein, and Brown Swiss dairy cows in lactation and dry periods. Archives animal breeding/Archiv für Tierzucht. 61(4). 413–424. 16 indexed citations
5.
Gruber, L., et al.. (2018). Nutrient composition, ruminal degradability and whole tract digestibility of whole crop maize silage from nine current varieties. Archives of Animal Nutrition. 72(2). 121–137. 13 indexed citations
6.
Egger-Danner, C., et al.. (2018). Indirect traits for feed efficiency.. Züchtungskunde. 90(6). 467–475. 1 indexed citations
7.
Gruber, L., et al.. (2017). Effect of variety and harvest date on nutritive value and ruminal degradability of ensiled maize ears. Archives of Animal Nutrition. 71(5). 333–346. 4 indexed citations
8.
Steinwidder, Andreas, et al.. (2017). The use of mid-infrared spectrometry to estimate the ration composition of lactating dairy cows. Journal of Dairy Science. 100(7). 5411–5421. 16 indexed citations
9.
Gruber, L., et al.. (2017). Genetic analysis of efficiency traits in Austrian dairy cattle and their relationships with body condition score and lameness. Journal of Dairy Science. 101(1). 445–455. 20 indexed citations
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Gruber, L., A. Khol‐Parisini, Elke Humer, Sherief M. Abdel‐Raheem, & Qendrim Zebeli. (2016). Long-term influence of feeding barley treated with lactic acid and heat on performance and energy balance in dairy cows. Archives of Animal Nutrition. 71(1). 54–66. 5 indexed citations
12.
Humer, Elke, A. Khol‐Parisini, Barbara U. Metzler-Zebeli, L. Gruber, & Qendrim Zebeli. (2016). Alterations of the Lipid Metabolome in Dairy Cows Experiencing Excessive Lipolysis Early Postpartum. PLoS ONE. 11(7). e0158633–e0158633. 52 indexed citations
13.
Falkai, Peter, Wolfgang Gäebel, A. Hasan, et al.. (2015). Erhebung von Qualitätsindikatoren anhand von Routinedaten. Der Nervenarzt. 86(11). 1393–1399. 13 indexed citations
14.
Humer, Elke, A. Khol‐Parisini, L. Gruber, et al.. (2015). Long-term reticuloruminal pH dynamics and markers of liver health in early-lactating cows of various parities fed diets differing in grain processing. Journal of Dairy Science. 98(9). 6433–6448. 31 indexed citations
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Steinwidder, Andreas, et al.. (2009). Influence of protein supply on feed intake, milk yield, rumen and blood parameters and N-excretion of dairy cows.. Züchtungskunde. 81(2). 106–124. 6 indexed citations
17.
Stefanon, Bruno, et al.. (2001). Using Artificial Neural Networks to Model the Urinary Excretion of Total and Purine Derivative Nitrogen Fractions in Cows. Journal of Nutrition. 131(12). 3307–3315. 10 indexed citations
18.
Gruber, L., et al.. (2000). Comparison of organic and conventional farming on a grassland farm. 1st Communication: grassland yield, forage feed value, and amount of slurry.. 51(4). 267–281. 1 indexed citations
19.
Steinwidder, Andreas & L. Gruber. (2000). Feeding and animal factors influencing milk urea content of dairy cows.. 51(1). 49–57. 3 indexed citations
20.
Stefanon, Bruno, et al.. (1998). The ability of different feed evaluation systems to predict rumen microbial nitrogen flow of lactating dairy cows. Proceedings of the British Society of Animal Science. 1998. 22–22. 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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