Gaël Dias
- Artificial Intelligence top 5%
- Information Systems top 5%
- Social Psychology
- Signal Processing top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Ricardo CamposAlípio JorgeMohammed HasanuzzamanSriparna SahaAdam JatowtGabriel Pereira LopesCélia NunesPavel Brazdil
- Topics
- Natural Language Processing Techniques (21 papers)Topic Modeling (19 papers)Advanced Text Analysis Techniques (10 papers)
In The Last Decade
Gaël Dias
52 papers receiving 490 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 368
- Information Systems 128
- Social Psychology 81
- Signal Processing 79
- Experimental and Cognitive Psychology 76
Countries citing papers authored by Gaël Dias
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | Learning Lexical-Semantic Relations Using Intuitive Cognitive Links | 1 |
| 10 | A Contextual Classification Strategy for Polarity Analysis of Direct Quotations from Financial News | 4 |
| 11 | 6 | |
| 12 | Topic segmentation algorithms for text summarization and passage retrieval: an exhaustive evaluation | 19 |
| 13 | Learning Paraphrases from WNS Corpora. | 4 |
| 14 | Progress in Artificial Intelligence: 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, Covilha, Portugal, December 5-8, 2005, Proceedings ... / Lecture Notes in Artificial Intelligence) | 1 |
| 15 | Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence | 1 |
| 16 | Automatic Hierarchical Clustering of Web Pages | 2 |
| 17 | Evaluation of Different Similarity Measures for the Extraction of Multiword Units in a Reinforcement Learning Environment. | 2 |
| 18 | Combining linguistics with statistics for multiword term extraction: a fruitful association? | 14 |
| 19 | Normalising the IJS-ELAN Slovene-English Parallel Corpus for the Extraction of Multilingual Terminology. | 2 |
| 20 | Using LocalMaxs Algorithm for the Extraction of Contiguous and Noncontiguous Multiword Lexical Units | 2 |
About Gaël Dias
Gaël Dias is a scholar working on Artificial Intelligence, Applied Psychology and Signal Processing, having authored 60 papers that have together received 525 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Topic Modeling (19 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (368 citations), Signal Processing (79 citations) and Applied Psychology (35 citations). Gaël Dias has collaborated with scholars based in Portugal, France and India. Frequent 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. Their work appears in journals such as PLoS ONE, ACM Computing Surveys and Information Processing & Management.
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.