Paulo J. Azevedo

17 papers and 139 indexed citations i.

About

Paulo J. Azevedo is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Paulo J. Azevedo has authored 17 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Signal Processing. Recurrent topics in Paulo J. Azevedo’s work include Data Mining Algorithms and Applications (8 papers), Time Series Analysis and Forecasting (6 papers) and Rough Sets and Fuzzy Logic (4 papers). Paulo J. Azevedo is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Time Series Analysis and Forecasting (6 papers) and Rough Sets and Fuzzy Logic (4 papers). Paulo J. Azevedo collaborates with scholars based in Portugal, The Netherlands and Canada. Paulo J. Azevedo's co-authors include N. F. Castro, Alí­pio Jorge, Pedro G. Ferreira, Carlos Soares, Arno Knobbe, Wouter Duivesteijn, Luı́s Torgo, Carlos Augusto Paiva da Silva Martins, João Gama and André F. T. Martins and has published in prestigious journals such as Machine Learning, Information Fusion and Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Paulo J. Azevedo i

Fields of papers citing papers by Paulo J. Azevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paulo J. Azevedo. 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 Paulo J. Azevedo. The network helps show where Paulo J. Azevedo may publish in the future.

Countries citing papers authored by Paulo J. Azevedo

Since Specialization
Citations

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