Catarina Eloy
- Artificial Intelligence top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology
- Oncology top 10%
- Co-authors
- Manuel Sobrinho‐SimõesAntónio PolóniaPaulo AguiarGuilherme ArestaTeresa AraújoAurélio CampilhoJosé RoucoEduardo Castro
- Topics
- Thyroid Cancer Diagnosis and Treatment (40 papers)AI in cancer detection (23 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)
- Cited by
- Health InformaticsEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECancer Research
In The Last Decade
Catarina Eloy
101 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 863
- Endocrinology, Diabetes and Metabolism 720
- Radiology, Nuclear Medicine and Imaging 673
- Molecular Biology 417
- Oncology 413
Countries citing papers authored by Catarina Eloy
This map shows the geographic impact of Catarina Eloy'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 Catarina Eloy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catarina Eloy more than expected).
Fields of papers citing papers by Catarina Eloy
This network shows the impact of papers produced by Catarina Eloy. 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 Catarina Eloy. The network helps show where Catarina Eloy may publish in the future.
Co-authorship network of co-authors of Catarina Eloy
This figure shows the co-authorship network connecting the top 25 collaborators of Catarina Eloy. A scholar is included among the top collaborators of Catarina Eloy 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 Catarina Eloy. Catarina Eloy 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 25 | |
| 9 | 4 | |
| 10 | 69 | |
| 11 | 1 | |
| 12 | 46 | |
| 13 | 9 | |
| 14 | Classification of breast cancer histology images using Convolutional Neural Networksbreakdown → | 648 |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 16 | |
| 18 | 68 | |
| 19 | 121 | |
| 20 | Septicémie à DF2 associée à un purpura et à un syndrome de détresse respiratoire de l'adulte | 2 |
About Catarina Eloy
Catarina Eloy is a scholar working on Endocrinology, Diabetes and Metabolism, Health Informatics and Oncology, having authored 109 papers that have together received 2.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (40 papers), AI in cancer detection (23 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). The work is most often cited by research in Health Informatics (77 citations), Endocrinology, Diabetes and Metabolism (720 citations) and Radiology, Nuclear Medicine and Imaging (673 citations). Catarina Eloy has collaborated with scholars based in Portugal, Spain and Italy. Frequent co-authors include Manuel Sobrinho‐Simões, António Polónia, Paulo Aguiar, Guilherme Aresta, Teresa Araújo, Aurélio Campilho, José Rouco, Eduardo Castro, Paula Soares and José Cameselle‐Teijeiro. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.
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.