Álvaro Barbero

10 papers and 126 indexed citations i.

About

Álvaro Barbero is a scholar working on Artificial Intelligence, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Álvaro Barbero has authored 10 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computational Mechanics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Álvaro Barbero’s work include Sparse and Compressive Sensing Techniques (2 papers), Advanced Optimization Algorithms Research (2 papers) and Soil, Finite Element Methods (2 papers). Álvaro Barbero is often cited by papers focused on Sparse and Compressive Sensing Techniques (2 papers), Advanced Optimization Algorithms Research (2 papers) and Soil, Finite Element Methods (2 papers). Álvaro Barbero collaborates with scholars based in Spain, Germany and United States. Álvaro Barbero's co-authors include Moritz Grosse‐Wentrup, José R. Dorronsoro, Jorge López, Bernhard Schölkopf, Akiko Takeda, Wim van Drongelen, Matthias Franz, Rubén Díaz‐Sierra, Enrique Arribas Garde and M. Garcı́a-Moreno and has published in prestigious journals such as Journal of Computational Chemistry, Pattern Recognition and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Álvaro Barbero i

Fields of papers citing papers by Álvaro Barbero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Álvaro Barbero

Since Specialization
Citations

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