Eduarda Matos
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Molecular Biology
- Oncology
- Public Health, Environmental and Occupational Health
- Co-authors
- Teresa MagalhãesRita G. NunesIsabel RamosHugo Alexandre FerreiraLuísa NogueiraSofia BrandãoAmérico AfonsoInês Morais Caldas
- Topics
- MRI in cancer diagnosis (6 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Advanced Neuroimaging Techniques and Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPsychological MedicineEuropean Journal of Cancer
- Partner nations
- PortugalUnited KingdomBulgaria
In The Last Decade
Eduarda Matos
39 papers receiving 840 citations
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 229
- Surgery 190
- Molecular Biology 149
- Oncology 118
- Public Health, Environmental and Occupational Health 109
Countries citing papers authored by Eduarda Matos
This map shows the geographic impact of Eduarda Matos'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 Eduarda Matos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduarda Matos more than expected).
Fields of papers citing papers by Eduarda Matos
This network shows the impact of papers produced by Eduarda Matos. 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 Eduarda Matos. The network helps show where Eduarda Matos may publish in the future.
Co-authorship network of co-authors of Eduarda Matos
This figure shows the co-authorship network connecting the top 25 collaborators of Eduarda Matos. A scholar is included among the top collaborators of Eduarda Matos 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 Eduarda Matos. Eduarda Matos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 31 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 8 | |
| 8 | 15 | |
| 9 | 10 | |
| 10 | 20 | |
| 11 | 19 | |
| 12 | 23 | |
| 13 | 47 | |
| 14 | 19 | |
| 15 | 4 | |
| 16 | 16 | |
| 17 | 20 | |
| 18 | 41 | |
| 19 | 52 | |
| 20 | 13 |
About Eduarda Matos
Eduarda Matos is a scholar working on Neuropsychology and Physiological Psychology, Health and Ophthalmology, having authored 40 papers that have together received 887 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (229 citations), Oral Surgery (60 citations) and Health (54 citations). Eduarda Matos has collaborated with scholars based in Portugal, United Kingdom and Bulgaria. Frequent co-authors include Teresa Magalhães, Rita G. Nunes, Isabel Ramos, Hugo Alexandre Ferreira, Luísa Nogueira, Sofia Brandão, Américo Afonso, Inês Morais Caldas, Joaquim J. Ferreira and Jorge Santos. Their work appears in journals such as SHILAP Revista de lepidopterología, Psychological Medicine and European Journal of Cancer.
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.