Cláudia Freitas
- Artificial Intelligence
- Language and Linguistics
- Literature and Literary Theory
- Philosophy
- Mechanical Engineering
- Co-authors
- Diana SantosHugo Gonçalo OliveiraPaula CarvalhoAlexandre RademakerValeria de PaivaEckhard BickAlberto SimõesSusana Afonso
- Topics
- Natural Language Processing Techniques (23 papers)Topic Modeling (13 papers)Linguistics and Education Research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsComputers & Geosciences
In The Last Decade
Cláudia Freitas
33 papers receiving 111 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 88
- Language and Linguistics 16
- Literature and Literary Theory 14
- Philosophy 11
- Mechanical Engineering 10
Countries citing papers authored by Cláudia Freitas
This map shows the geographic impact of Cláudia Freitas'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 Cláudia Freitas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cláudia Freitas more than expected).
Fields of papers citing papers by Cláudia Freitas
This network shows the impact of papers produced by Cláudia Freitas. 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 Cláudia Freitas. The network helps show where Cláudia Freitas may publish in the future.
Co-authorship network of co-authors of Cláudia Freitas
This figure shows the co-authorship network connecting the top 25 collaborators of Cláudia Freitas. A scholar is included among the top collaborators of Cláudia Freitas 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 Cláudia Freitas. Cláudia Freitas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | Looking at body expressions to enrich emotion clusters | 2 |
| 10 | Text Mining for History: first steps on building a large dataset. | 1 |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | QUEMDISSE? Reported speech in Portuguese. | 3 |
| 15 | 1 | |
| 16 | Análise de inteligibilidade textual por meio de ferramentas de processamento automático do português: avaliação da Coleção Literatura para Todos | 4 |
| 17 | 4 | |
| 18 | P'agico: Evaluating Wikipedia-based information retrieval in Portuguese | 2 |
| 19 | Second HAREM: Advancing the State of the Art of Named Entity Recognition in Portuguese | 23 |
| 20 | 5 |
About Cláudia Freitas
Cláudia Freitas is a scholar working on Artificial Intelligence, Literature and Literary Theory and Language and Linguistics, having authored 38 papers that have together received 125 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (23 papers), Topic Modeling (13 papers) and Linguistics and Education Research (8 papers). The work is most often cited by research in Artificial Intelligence (88 citations), Language and Linguistics (16 citations) and Literature and Literary Theory (14 citations). Cláudia Freitas has collaborated with scholars based in Brazil, Portugal and Norway. Frequent co-authors include Diana Santos, Hugo Gonçalo Oliveira, Paula Carvalho, Alexandre Rademaker, Valeria de Paiva, Eckhard Bick, Alberto Simões, Susana Afonso, Cláudia Macedo and Gilberto Santos. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Computers & Geosciences.
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.