Tiago Pimentel
- Artificial Intelligence top 5%
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Information Systems
- Developmental and Educational Psychology
- Co-authors
- Ryan CotterellClara MeisterRoger LévyAdriano VelosoNívio ZivianiYanai ElazarShauli RavfogelDietrich Klakow
- Topics
- Topic Modeling (19 papers)Natural Language Processing Techniques (16 papers)Text Readability and Simplification (7 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Tiago Pimentel
34 papers receiving 320 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 234
- Cognitive Neuroscience 53
- Computer Vision and Pattern Recognition 43
- Information Systems 39
- Developmental and Educational Psychology 30
Countries citing papers authored by Tiago Pimentel
This map shows the geographic impact of Tiago Pimentel'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 Tiago Pimentel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiago Pimentel more than expected).
Fields of papers citing papers by Tiago Pimentel
This network shows the impact of papers produced by Tiago Pimentel. 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 Tiago Pimentel. The network helps show where Tiago Pimentel may publish in the future.
Co-authorship network of co-authors of Tiago Pimentel
This figure shows the co-authorship network connecting the top 25 collaborators of Tiago Pimentel. A scholar is included among the top collaborators of Tiago Pimentel 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 Tiago Pimentel. Tiago Pimentel 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 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 34 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 41 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | Fast Node Embeddings: Learning Ego-Centric Representations | 10 |
| 19 | A Generalized Active Learning Approach for Unsupervised Anomaly Detection | 9 |
| 20 | Unsupervised and Scalable Algorithm for Learning Node Representations | 10 |
About Tiago Pimentel
Tiago Pimentel is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 39 papers that have together received 336 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (16 papers) and Text Readability and Simplification (7 papers). The work is most often cited by research in Artificial Intelligence (234 citations), Health Informatics (4 citations) and Cognitive Neuroscience (53 citations). Tiago Pimentel has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Ryan Cotterell, Clara Meister, Roger Lévy, Adriano Veloso, Nívio Ziviani, Yanai Elazar, Shauli Ravfogel, Dietrich Klakow, Marius Mosbach and Cory Shain. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.