Iria da Cunha
- Artificial Intelligence top 5%
- Language and Linguistics top 5%
- Literature and Literary Theory top 10%
- Experimental and Cognitive Psychology
- Information Systems
- Co-authors
- Juan‐Manuel Torres‐MorenoGerardo SierraMaite TaboadaÉric SanJuanHoracio SaggionJorge VivaldiLeo WannerNúria Bel
- Topics
- Natural Language Processing Techniques (23 papers)Topic Modeling (16 papers)Spanish Linguistics and Language Studies (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsAging & Mental Health
In The Last Decade
Iria da Cunha
37 papers receiving 275 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 213
- Language and Linguistics 74
- Literature and Literary Theory 37
- Experimental and Cognitive Psychology 33
- Information Systems 30
Countries citing papers authored by Iria da Cunha
This map shows the geographic impact of Iria da Cunha'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 Iria da Cunha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iria da Cunha more than expected).
Fields of papers citing papers by Iria da Cunha
This network shows the impact of papers produced by Iria da Cunha. 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 Iria da Cunha. The network helps show where Iria da Cunha may publish in the future.
Co-authorship network of co-authors of Iria da Cunha
This figure shows the co-authorship network connecting the top 25 collaborators of Iria da Cunha. A scholar is included among the top collaborators of Iria da Cunha 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 Iria da Cunha. Iria da Cunha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | The RST Spanish-Chinese Treebank. | 9 |
| 7 | 9 | |
| 8 | 12 | |
| 9 | A Corpus-based Approach for Spanish-Chinese Language Learning. | 2 |
| 10 | An analysis of the Concession relation based on the discourse marker aunque in a Spanish-Chinese parallel corpus | 6 |
| 11 | 6 | |
| 12 | 43 | |
| 13 | Tweet Contextualization: a Strategy Based on Document Retrieval Using Query Enrichment and Automatic Summarization. | 2 |
| 14 | INEX Tweet Contextualization Track at CLEF 2012: Query Reformulation using Terminological Patterns and Automatic Summarization. | 4 |
| 15 | 4 | |
| 16 | 14 | |
| 17 | On the Development of the RST Spanish Treebank | 53 |
| 18 | Multilingual Summarization Evaluation without Human Models | 44 |
| 19 | DiSeg: Un segmentador discursivo automático para el español | 2 |
| 20 | 22 |
About Iria da Cunha
Iria da Cunha is a scholar working on Language and Linguistics, Artificial Intelligence and Linguistics and Language, having authored 44 papers that have together received 323 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (23 papers), Topic Modeling (16 papers) and Spanish Linguistics and Language Studies (10 papers). The work is most often cited by research in Language and Linguistics (74 citations), Artificial Intelligence (213 citations) and Literature and Literary Theory (37 citations). Iria da Cunha has collaborated with scholars based in Spain, France and Mexico. Frequent co-authors include Juan‐Manuel Torres‐Moreno, Gerardo Sierra, Maite Taboada, Éric SanJuan, Horacio Saggion, Jorge Vivaldi, Leo Wanner, Núria Bel, Lucia Specia and Irene Castellón Masalles. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Aging & Mental Health.
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.