R. Alenda

1.5k total citations
48 papers, 1.2k citations indexed

About

R. Alenda is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, R. Alenda has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Genetics, 26 papers in Agronomy and Crop Science and 10 papers in Animal Science and Zoology. Recurrent topics in R. Alenda's work include Genetic and phenotypic traits in livestock (40 papers), Ruminant Nutrition and Digestive Physiology (16 papers) and Reproductive Physiology in Livestock (14 papers). R. Alenda is often cited by papers focused on Genetic and phenotypic traits in livestock (40 papers), Ruminant Nutrition and Digestive Physiology (16 papers) and Reproductive Physiology in Livestock (14 papers). R. Alenda collaborates with scholars based in Spain, United States and Iran. R. Alenda's co-authors include Óscar González-Recio, María Ángeles Pérez-Cabal, J. A. Jiménez-Montero, M. J. Carabaño, T. G. Martín, E. Ugarte, Daniel Gianola, K.A. Weigel, Noureddine Charfeddine and Yu‐Mei Chang and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and animal.

In The Last Decade

R. Alenda

47 papers receiving 1.1k citations

Peers

R. Alenda
Comparison fields: 5 of 91
  • Genetics 980
  • Agronomy and Crop Science 739
  • Animal Science and Zoology 373
  • Plant Science 187
  • Small Animals 137
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Citations per field, relative to R. Alenda
R. Alenda · 1×
Citations per year, relative to R. Alenda
R. Alenda · 1×

Countries citing papers authored by R. Alenda

Since Specialization
Citations

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

Fields of papers citing papers by R. Alenda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Alenda

This figure shows the co-authorship network connecting the top 25 collaborators of R. Alenda. A scholar is included among the top collaborators of R. Alenda 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 R. Alenda. R. Alenda 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
# Work Indexed citations
1 39
2 64
3
Economic impact of the low fertility in the Spanish beef cattle population.
1
4 9
5
Genomic evaluation using machine learning algorithms in the Spanish Holstein population
2
6 44
7 47
8 16
9
Genotyping Strategies for Genomic Selection in Dairy Cattle
5
10 37
11 17
12 48
13 63
14 36
15 58
16
Genetic analysis of true profit for Spanish dairy cattle
14
17
Genetic parameters and economic values of lactation somatic cell score and production traits
5
18
Selection for total merit in the Spanish Holstein Friesian
3
19
Genetic parameters for test day measurements in Spanish Holstein-Friesian
16
20
A study on heterogeneity of variances adjustment in genetic evaluations in Spain
1

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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