Penousal Machado

101 papers and 892 indexed citations i.

About

Penousal Machado is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Penousal Machado has authored 101 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 46 papers in Computer Vision and Pattern Recognition and 19 papers in Cognitive Neuroscience. Recurrent topics in Penousal Machado’s work include Evolutionary Algorithms and Applications (21 papers), Music Technology and Sound Studies (18 papers) and Data Visualization and Analytics (18 papers). Penousal Machado is often cited by papers focused on Evolutionary Algorithms and Applications (21 papers), Music Technology and Sound Studies (18 papers) and Data Visualization and Analytics (18 papers). Penousal Machado collaborates with scholars based in Portugal, Spain and United States. Penousal Machado's co-authors include Juan Romero, João Correia, Nuno Lourenço, Amílcar Cardoso, Filipe Assunção, Adrián Carballal, Antonino Santos, Bernardete Ribeiro, Stefano Cagnoni and Anikó Ekárt and has published in prestigious journals such as Bioinformatics, IEEE Access and Briefings in Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Penousal Machado i

Fields of papers citing papers by Penousal Machado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Penousal Machado

Since Specialization
Citations

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