Jaime Alonso

691 total citations
19 papers, 378 citations indexed

About

Jaime Alonso is a scholar working on Genetics, Animal Science and Zoology and Artificial Intelligence. According to data from OpenAlex, Jaime Alonso has authored 19 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Animal Science and Zoology and 4 papers in Artificial Intelligence. Recurrent topics in Jaime Alonso's work include Genetic and phenotypic traits in livestock (8 papers), Meat and Animal Product Quality (5 papers) and Animal Behavior and Welfare Studies (3 papers). Jaime Alonso is often cited by papers focused on Genetic and phenotypic traits in livestock (8 papers), Meat and Animal Product Quality (5 papers) and Animal Behavior and Welfare Studies (3 papers). Jaime Alonso collaborates with scholars based in Spain, United States and Austria. Jaime Alonso's co-authors include Antonio Bahamonde, A. Bahamonde, F. Goyache, Juan José del Coz, Oscar Luaces, José Ramón Quevedo, Jorge Díez, I. Álvarez, L. J. Royo and José Ranilla and has published in prestigious journals such as Trends in Food Science & Technology, Meat Science and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Jaime Alonso

17 papers receiving 349 citations

Peers

Jaime Alonso

GENET

ASZ

Niël le Roux South Africa

Sari Kajava Finland

David Causeur France

María Isabel Sánchez‐Rodríguez Spain

Wulandari Wulandari Indonesia

Garth Tarr Australia

Ángel Pinto Colombia

Bingxing An China

Iver Thysen Denmark

Hawlader Abdullah Al-Mamun Australia

Niël le Roux South Africa

Jaime Alonso

32 ×0.3

GENET

30 ×0.3

ASZ

118 ×2.1

34 ×0.7

80 ×2.0

Citations per year, relative to Jaime Alonso Jaime Alonso (= 1×) peers Niël le Roux

Countries citing papers authored by Jaime Alonso

Since Specialization

Citations

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

Fields of papers citing papers by Jaime Alonso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime Alonso

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Alonso. A scholar is included among the top collaborators of Jaime Alonso 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 Jaime Alonso. Jaime Alonso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Alonso, Jaime, et al.. (2024). QuantificationLib: A Python library for quantification and prevalence estimation. SoftwareX. 26. 101728–101728. 1 indexed citations

Alonso, Jaime, et al.. (2023). An Equivalence Analysis of Binary Quantification Methods. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 6944–6952. 5 indexed citations

Alonso, Jaime, Ke Zhao, Sandrine Le Guillou, et al.. (2022). Differences in the microRNAs Levels of Raw Milk from Dairy Cattle Raised under Extensive or Intensive Production Systems. Veterinary Sciences. 9(12). 661–661. 8 indexed citations

González, Pablo, et al.. (2022). Matching Distributions Algorithms Based on the Earth Mover’s Distance for Ordinal Quantification. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 1050–1061. 4 indexed citations

Morán‐Fernández, Laura, et al.. (2018). Análisis de algoritmos de cuantificación basados en ajuste de distribuciones. Dialnet (Universidad de la Rioja). 913–918.

Alonso, Jaime, Jorge Díez, Oscar Luaces, & Antonio Bahamonde. (2018). A new method to learn growth curves of beef cattle using a factorization approach. Computers and Electronics in Agriculture. 151. 77–83.

Alonso, Jaime, et al.. (2014). Improved estimation of bovine weight trajectories using Support Vector Machine Classification. Computers and Electronics in Agriculture. 110. 36–41. 40 indexed citations

Alonso, Jaime, et al.. (2013). Support Vector Regression to predict carcass weight in beef cattle in advance of the slaughter. Computers and Electronics in Agriculture. 91. 116–120. 61 indexed citations

Alonso, Jaime, et al.. (2012). Propuesta metodológica para el análisis de las tecnologías de participación en cibermedios. Revista Latina de Comunicación Social. 148–178. 7 indexed citations

10.

Alonso, Jaime, et al.. (2011). Propuesta de un juego de rol para evaluar la competencia del liderazgo basado en el método de desarrollo de habilidades gerenciales. 1 indexed citations

11.

Pérez-Pardal, Lucía, L. J. Royo, Albano Beja‐Pereira, et al.. (2009). Y‐specific microsatellites reveal an African subfamily in taurine (Bos taurus) cattle. Animal Genetics. 41(3). 232–241. 51 indexed citations

12.

Alonso, Jaime, et al.. (2006). Morphological assessment of beef cattle according to carcass value. Livestock Science. 107(2-3). 265–273. 10 indexed citations

13.

Alonso, Jaime. (2005). Comunicar en Internet: El papel interactivo de los sujetos en los nuevos medios. 21(48). 57–78. 1 indexed citations

14.

Bahamonde, Antonio, Gustavo F. Bayón, Jorge Díez, et al.. (2004). Feature subset selection for learning preferences. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 7–7. 33 indexed citations

15.

Díez, Jorge, Gustavo F. Bayón, José Ramón Quevedo, et al.. (2004). Discovering relevancies in very difficult regression problems: applications to sensory data analysis. 993–994. 11 indexed citations

16.

Díez, Jorge, Antonio Bahamonde, Jaime Alonso, et al.. (2003). Artificial intelligence techniques point out differences in classification performance between light and standard bovine carcasses. Meat Science. 64(3). 249–258. 19 indexed citations

17.

Fortea, Javier, Marco de la Rasilla Vives, Eva Martínez‐Pinilla, et al.. (2003). La cueva de El Sidrón (Borines, Piloña, Asturias): primeros resultados. Estudios Geológicos. 59(1-4). 159–179. 39 indexed citations

18.

Goyache, F., Juan José del Coz, José Ramón Quevedo, et al.. (2001). Using artificial intelligence to design and implement a morphological assessment system in beef cattle. Animal Science. 73(1). 49–60. 25 indexed citations

19.

Goyache, F., Antonio Bahamonde, Jaime Alonso, et al.. (2001). The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry. Trends in Food Science & Technology. 12(10). 370–381. 62 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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