María Brunette
- Radiological and Ultrasound Technology top 1%
- Radiology, Nuclear Medicine and Imaging top 10%
- General Health Professions top 10%
- Artificial Intelligence
- Social Psychology
- Co-authors
- Walter H. CuriosoBenyuan LiuYu CaoChang LiuJesús PeinadoLenore S. AzaroffMarlon F. AlcantaraCora Roelofs
- Topics
- COVID-19 diagnosis using AI (9 papers)Tuberculosis Research and Epidemiology (5 papers)Occupational Health and Safety Research (5 papers)
- Cited by
- Radiological and Ultrasound TechnologyHealth InformaticsStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental HealthBehaviour and Information Technology
- Partner nations
- United StatesPeruMexico
In The Last Decade
María Brunette
25 papers receiving 568 citations
Peers
Comparison fields: 5 of 95
- Radiological and Ultrasound Technology 222
- Radiology, Nuclear Medicine and Imaging 200
- General Health Professions 104
- Artificial Intelligence 87
- Social Psychology 71
Countries citing papers authored by María Brunette
This map shows the geographic impact of María Brunette'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 María Brunette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Brunette more than expected).
Fields of papers citing papers by María Brunette
This network shows the impact of papers produced by María Brunette. 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 María Brunette. The network helps show where María Brunette may publish in the future.
Co-authorship network of co-authors of María Brunette
This figure shows the co-authorship network connecting the top 25 collaborators of María Brunette. A scholar is included among the top collaborators of María Brunette 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 María Brunette. María Brunette 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 | 6 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 43 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 7 | |
| 16 | 80 | |
| 17 | 38 | |
| 18 | 84 | |
| 19 | 86 | |
| 20 | 3 |
About María Brunette
María Brunette is a scholar working on Radiological and Ultrasound Technology, Issues, ethics and legal aspects and Occupational Therapy, having authored 26 papers that have together received 620 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (9 papers), Tuberculosis Research and Epidemiology (5 papers) and Occupational Health and Safety Research (5 papers). The work is most often cited by research in Radiological and Ultrasound Technology (222 citations), Health Informatics (19 citations) and Statistics, Probability and Uncertainty (65 citations). María Brunette has collaborated with scholars based in United States, Peru and Mexico. Frequent co-authors include Walter H. Curioso, Benyuan Liu, Yu Cao, Chang Liu, Jesús Peinado, Lenore S. Azaroff, Marlon F. Alcantara, Cora Roelofs, Ning Zhang and T. Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Health and Behaviour and Information Technology.
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.