Gaël Dias

38 papers and 323 indexed citations i.

About

Gaël Dias is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Gaël Dias has authored 38 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Signal Processing. Recurrent topics in Gaël Dias’s work include Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Data Management and Algorithms (8 papers). Gaël Dias is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (13 papers) and Data Management and Algorithms (8 papers). Gaël Dias collaborates with scholars based in France, Portugal and India. Gaël Dias's co-authors include Ricardo Campos, Alí­pio Jorge, Mohammed Hasanuzzaman, Adam Jatowt, Sriparna Saha, Célia Nunes, Gabriel Pereira Lopes, Elsa Alves, Kairit Sirts and Pavel Brazdil and has published in prestigious journals such as ACM Computing Surveys, Information Processing & Management and IEEE Intelligent Systems.

In The Last Decade

Co-authorship network of co-authors of Gaël Dias i

Fields of papers citing papers by Gaël Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gaël Dias

Since Specialization
Citations

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