Federico Divina

39 papers and 682 indexed citations i.

About

Federico Divina is a scholar working on Molecular Biology, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Federico Divina has authored 39 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Federico Divina’s work include Gene expression and cancer classification (10 papers), Evolutionary Algorithms and Applications (8 papers) and Bioinformatics and Genomic Networks (6 papers). Federico Divina is often cited by papers focused on Gene expression and cancer classification (10 papers), Evolutionary Algorithms and Applications (8 papers) and Bioinformatics and Genomic Networks (6 papers). Federico Divina collaborates with scholars based in Spain, The Netherlands and Paraguay. Federico Divina's co-authors include Miguel García-Torres, Francisco Gómez-Vela, Jesús S. Aguilar–Ruiz, José Luis Vázquez Noguera, J. F. Torres, Paul Vogt, Raúl Giráldez, Beatriz Pontes, Elena Marchiori and Alfonso E. Márquez-Chamorro and has published in prestigious journals such as Bioinformatics, IEEE Access and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Federico Divina i

Fields of papers citing papers by Federico Divina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Divina

Since Specialization
Citations

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

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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