Pilar López‐Úbeda
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Health Informatics top 1%
- Molecular Biology
- Health Information Management top 10%
- Co-authors
- Antonio LunaTeodoro Martín‐NoguerolMaría Teresa Martín ValdiviaManuel Carlos Díaz–GalianoLuís Alfonso Ureña LópezKrishna JuluruJosé Aneiros‐FernándezFlor Miriam Plaza-del-Arco
- Topics
- Topic Modeling (24 papers)Biomedical Text Mining and Ontologies (17 papers)Artificial Intelligence in Healthcare and Education (15 papers)
- Partner nations
- SpainUnited StatesAustria
In The Last Decade
Pilar López‐Úbeda
41 papers receiving 279 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 182
- Radiology, Nuclear Medicine and Imaging 126
- Health Informatics 103
- Molecular Biology 68
- Health Information Management 19
Countries citing papers authored by Pilar López‐Úbeda
This map shows the geographic impact of Pilar López‐Úbeda'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 Pilar López‐Úbeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pilar López‐Úbeda more than expected).
Fields of papers citing papers by Pilar López‐Úbeda
This network shows the impact of papers produced by Pilar López‐Úbeda. 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 Pilar López‐Úbeda. The network helps show where Pilar López‐Úbeda may publish in the future.
Co-authorship network of co-authors of Pilar López‐Úbeda
This figure shows the co-authorship network connecting the top 25 collaborators of Pilar López‐Úbeda. A scholar is included among the top collaborators of Pilar López‐Úbeda 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 Pilar López‐Úbeda. Pilar López‐Úbeda 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 | 1 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 7 | |
| 11 | 29 | |
| 12 | 7 | |
| 13 | 5 | |
| 14 | Pre-trained language models to extract information from radiological reports. | 3 |
| 15 | SINAI at CLEF eHealth 2020: Testing Different pre-trained Word Embeddings for Clinical Coding in Spanish. | 3 |
| 16 | Transfer learning applied to text classification in Spanish radiological reports | 4 |
| 17 | 4 | |
| 18 | Extracting Neoplasms Morphology Mentions in Spanish Clinical Cases through Word Embeddings. | 7 |
| 19 | Anonymization of Clinical Reports in Spanish: a Hybrid Method Based on Machine Learning and Rules. | 1 |
| 20 | SINAI at CLEF eHealth 2018 Task 3. Using cTAKES to Remove Noise from Expanding Queries with Google. | 1 |
About Pilar López‐Úbeda
Pilar López‐Úbeda is a scholar working on Health Informatics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 298 indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Biomedical Text Mining and Ontologies (17 papers) and Artificial Intelligence in Healthcare and Education (15 papers). The work is most often cited by research in Health Informatics (103 citations), Artificial Intelligence (182 citations) and Radiology, Nuclear Medicine and Imaging (126 citations). Pilar López‐Úbeda has collaborated with scholars based in Spain, United States and Austria. Frequent co-authors include Antonio Luna, Teodoro Martín‐Noguerol, María Teresa Martín Valdivia, Manuel Carlos Díaz–Galiano, Luís Alfonso Ureña López, Krishna Juluru, José Aneiros‐Fernández, Flor Miriam Plaza-del-Arco, Alfredo Escartín and Albert Pons‐Escoda. Their work appears in journals such as American Journal Of Pathology, Expert Systems with Applications and BMC Bioinformatics.
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.