Gaël Dias

1.4k total citations
60 papers, 525 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 60 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 37 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, Sriparna Saha, Adam Jatowt, 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

52 papers receiving 490 citations

Peers

Gaël Dias
Shoaib Jameel United Kingdom
Mudasir Ahmad Wani Saudi Arabia
Jan Odijk Netherlands
Kyo-Joong Oh South Korea
Gaël Dias
Citations per year, relative to Gaël Dias Gaël Dias (= 1×) peers Haizhou Wang

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

20 of 20 papers shown
1.
Dias, Gaël, et al.. (2026). Integrating probabilistic trees and causal networks for clinical and epidemiological data. Artificial Intelligence in Medicine. 173. 103350–103350.
2.
Seneviratne, Oshani, Marc Spaniol, John Erickson, & Gaël Dias. (2025). Ethical Web Science Workshop Overview. SPIRE - Sciences Po Institutional REpository. 38–38.
3.
Piot, P, et al.. (2025). A systematic review of automated hyperpartisan news detection. PLoS ONE. 20(2). e0316989–e0316989.
4.
5.
Dias, Gaël, et al.. (2024). Multi-view graph-based interview representation to improve depression level estimation. Brain Informatics. 11(1). 14–14.
6.
Dias, Gaël, et al.. (2023). Towards automatic text-based estimation of depression through symptom prediction. Brain Informatics. 10(1). 4–4. 12 indexed citations
7.
Dias, Gaël, et al.. (2022). Multimodal Web Page Segmentation Using Self-organized Multi-objective Clustering. ACM Transactions on Information Systems. 40(3). 1–49. 1 indexed citations
8.
Dias, Gaël, et al.. (2021). Gender-Aware Estimation of Depression Severity Level in a Multimodal Setting. 1–8. 12 indexed citations
9.
Balikas, Georgios, et al.. (2019). Learning Lexical-Semantic Relations Using Intuitive Cognitive Links. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
10.
Drury, Brett, Gaël Dias, & Luı́s Torgo. (2011). A Contextual Classification Strategy for Polarity Analysis of Direct Quotations from Financial News. Recent Advances in Natural Language Processing. 434–440. 4 indexed citations
11.
Dias, Gaël, et al.. (2010). Paraphrase Alignment for Synonym Evidence Discovery. International Conference on Computational Linguistics. 104. 403–411. 6 indexed citations
12.
Dias, Gaël, Elsa Alves, & Gabriel Pereira Lopes. (2007). Topic segmentation algorithms for text summarization and passage retrieval: an exhaustive evaluation. National Conference on Artificial Intelligence. 1334–1339. 19 indexed citations
13.
Dias, Gaël, et al.. (2007). Learning Paraphrases from WNS Corpora.. The Florida AI Research Society. 193–198. 4 indexed citations
14.
Bento, Carlos, Amílcar Cardoso, & Gaël Dias. (2006). Progress in Artificial Intelligence: 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, Covilha, Portugal, December 5-8, 2005, Proceedings ... / Lecture Notes in Artificial Intelligence). Springer eBooks. 1 indexed citations
15.
Bento, Carlos, Amílcar Cardoso, & Gaël Dias. (2005). Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence. 1 indexed citations
16.
Campos, Ricardo & Gaël Dias. (2005). Automatic Hierarchical Clustering of Web Pages. 2 indexed citations
17.
Dias, Gaël, et al.. (2004). Evaluation of Different Similarity Measures for the Extraction of Multiword Units in a Reinforcement Learning Environment.. Language Resources and Evaluation. 2 indexed citations
18.
Dias, Gaël, et al.. (2000). Combining linguistics with statistics for multiword term extraction: a fruitful association?. 1473–1491. 14 indexed citations
19.
Dias, Gaël, et al.. (1999). Normalising the IJS-ELAN Slovene-English Parallel Corpus for the Extraction of Multilingual Terminology.. 2 indexed citations
20.
Dias, Gaël, et al.. (1999). Using LocalMaxs Algorithm for the Extraction of Contiguous and Noncontiguous Multiword Lexical Units. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026