Gaël Dias

198 total papers · 1.4k total citations
58 papers, 519 citations indexed

About

Gaël Dias is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Gaël Dias has authored 58 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 13 papers in Information Systems and 10 papers in Signal Processing. Recurrent topics in Gaël Dias's work include Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Advanced Text Analysis Techniques (10 papers). Gaël Dias is often cited by papers focused on Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Advanced Text Analysis Techniques (10 papers). Gaël Dias collaborates with scholars based in Portugal, France and India. Gaël Dias's co-authors include Ricardo Campos, Alí­pio Jorge, Mohammed Hasanuzzaman, Adam Jatowt, Sriparna Saha, Gabriel Pereira Lopes, Célia Nunes, Pavel Brazdil, Elsa Alves and João T. Mexia and has published in prestigious journals such as PLoS ONE, ACM Computing Surveys and Information Processing & Management.

In The Last Decade

Gaël Dias

51 papers receiving 483 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gaël Dias 364 126 79 79 75 58 519
K. M. Azharul Hasan 399 1.1× 115 0.9× 69 0.9× 51 0.6× 52 0.7× 107 609
Sebastian Tschiatschek 275 0.8× 136 1.1× 23 0.3× 77 1.0× 34 0.5× 40 607
Ronan Cummins 278 0.8× 240 1.9× 36 0.5× 37 0.5× 51 0.7× 39 525
Haizhou Wang 244 0.7× 189 1.5× 69 0.9× 133 1.7× 35 0.5× 41 504
Marco Polignano 414 1.1× 182 1.4× 37 0.5× 49 0.6× 53 0.7× 50 545
Shoaib Jameel 328 0.9× 80 0.6× 160 2.0× 23 0.3× 63 0.8× 53 510
Marcelo Luis Errecalde 310 0.9× 95 0.8× 139 1.8× 18 0.2× 52 0.7× 78 491
Guozheng Rao 326 0.9× 78 0.6× 65 0.8× 16 0.2× 38 0.5× 39 446
Stefano Ferilli 291 0.8× 149 1.2× 49 0.6× 41 0.5× 18 0.2× 98 510
Jonghoon Lee 221 0.6× 62 0.5× 111 1.4× 21 0.3× 38 0.5× 61 551

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).

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.

Co-authorship network of co-authors of Gaël Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Gaël Dias. A scholar is included among the top collaborators of Gaël Dias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gaël Dias. Gaël Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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