Aritz Pérez

43 papers and 2.3k indexed citations i.

About

Aritz Pérez is a scholar working on Artificial Intelligence, Signal Processing and Molecular Biology. According to data from OpenAlex, Aritz Pérez has authored 43 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 7 papers in Signal Processing and 5 papers in Molecular Biology. Recurrent topics in Aritz Pérez’s work include Machine Learning and Data Classification (9 papers), Anomaly Detection Techniques and Applications (6 papers) and Adaptation to Concept Drift in Data Streams (6 papers). Aritz Pérez is often cited by papers focused on Machine Learning and Data Classification (9 papers), Anomaly Detection Techniques and Applications (6 papers) and Adaptation to Concept Drift in Data Streams (6 papers). Aritz Pérez collaborates with scholars based in Spain, Saudi Arabia and France. Aritz Pérez's co-authors include José A. Lozano, Juan Diego Rodríguez, Iñaki Inza, Pedro Larrañaga, Borja Calvo, Guzmán Santafé, Rubén Armañanzas, Roberto Santana, Vı́ctor Robles and Concha Bielza and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Aritz Pérez i

Fields of papers citing papers by Aritz Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aritz Pérez

Since Specialization
Citations

This map shows the geographic impact of Aritz Pérez'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 Aritz Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aritz Pérez 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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2025