Aina Garí Soler
- Artificial Intelligence
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Developmental and Educational Psychology
- Experimental and Cognitive Psychology
- Co-authors
- Marianna ApidianakiAlexandre AllauzenWolfram HinzenAnne CocosChris Callison-BurchCèlia Mareca ViladrichJesús Ruiz‐IdiagoChloé Clavel
- Topics
- Topic Modeling (9 papers)Natural Language Processing Techniques (8 papers)Text Readability and Simplification (4 papers)
- Journals
- Journal of Communication DisordersTransactions of the Association for Computational LinguisticsGlossa a journal of general linguistics
- Partner nations
- FranceUnited StatesFinland
In The Last Decade
Aina Garí Soler
10 papers receiving 55 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 40
- Cognitive Neuroscience 10
- Computer Vision and Pattern Recognition 8
- Developmental and Educational Psychology 7
- Experimental and Cognitive Psychology 4
Countries citing papers authored by Aina Garí Soler
This map shows the geographic impact of Aina Garí Soler'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 Aina Garí Soler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aina Garí Soler more than expected).
Fields of papers citing papers by Aina Garí Soler
This network shows the impact of papers produced by Aina Garí Soler. 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 Aina Garí Soler. The network helps show where Aina Garí Soler may publish in the future.
Co-authorship network of co-authors of Aina Garí Soler
This figure shows the co-authorship network connecting the top 25 collaborators of Aina Garí Soler. A scholar is included among the top collaborators of Aina Garí Soler 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 Aina Garí Soler. Aina Garí Soler 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 | 2 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | LIMSI-MULTISEM at the IJCAI SemDeep-5 WiC Challenge: Context Representations for Word Usage Similarity Estimation | 4 |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 4 |
About Aina Garí Soler
Aina Garí Soler is a scholar working on Artificial Intelligence, Language and Linguistics and Developmental and Educational Psychology, having authored 11 papers that have together received 57 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Text Readability and Simplification (4 papers). The work is most often cited by research in Artificial Intelligence (40 citations), Health Informatics (1 citation) and Developmental and Educational Psychology (7 citations). Aina Garí Soler has collaborated with scholars based in France, United States and Finland. Frequent co-authors include Marianna Apidianaki, Alexandre Allauzen, Wolfram Hinzen, Anne Cocos, Chris Callison-Burch, Cèlia Mareca Viladrich, Jesús Ruiz‐Idiago, Chloé Clavel and Edith Pomarol‐Clotet. Their work appears in journals such as Journal of Communication Disorders, Transactions of the Association for Computational Linguistics and Glossa a journal of general linguistics.
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.