Jermana Lopes de Moraes
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Surgery
- Cognitive Neuroscience
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Auzuir Ripardo de AlexandriaMatheus Lavorenti RochaVictor Hugo C. de AlbuquerqueGlauber Gean de VasconcelosAntônio Luiz Pinho RibeiroEdson Cavalcanti NetoGabriela PaixãoMilton P. Ferreira
- Topics
- ECG Monitoring and Analysis (3 papers)Non-Invasive Vital Sign Monitoring (3 papers)Artificial Intelligence in Healthcare (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsPhysiological Measurement
- Partner nations
- BrazilUnited Kingdom
In The Last Decade
Jermana Lopes de Moraes
11 papers receiving 292 citations
Peers
Comparison fields: 5 of 81
- Cardiology and Cardiovascular Medicine 179
- Biomedical Engineering 171
- Surgery 58
- Cognitive Neuroscience 30
- Radiology, Nuclear Medicine and Imaging 21
Countries citing papers authored by Jermana Lopes de Moraes
This map shows the geographic impact of Jermana Lopes de Moraes'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 Jermana Lopes de Moraes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jermana Lopes de Moraes more than expected).
Fields of papers citing papers by Jermana Lopes de Moraes
This network shows the impact of papers produced by Jermana Lopes de Moraes. 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 Jermana Lopes de Moraes. The network helps show where Jermana Lopes de Moraes may publish in the future.
Co-authorship network of co-authors of Jermana Lopes de Moraes
This figure shows the co-authorship network connecting the top 25 collaborators of Jermana Lopes de Moraes. A scholar is included among the top collaborators of Jermana Lopes de Moraes 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 Jermana Lopes de Moraes. Jermana Lopes de Moraes 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 | 13 | |
| 4 | 1 | |
| 5 | 45 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 205 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | 10 |
About Jermana Lopes de Moraes
Jermana Lopes de Moraes is a scholar working on Health Information Management, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 300 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (179 citations), Health Informatics (7 citations) and Biomedical Engineering (171 citations). Jermana Lopes de Moraes has collaborated with scholars based in Brazil and United Kingdom. Frequent co-authors include Auzuir Ripardo de Alexandria, Matheus Lavorenti Rocha, Victor Hugo C. de Albuquerque, Glauber Gean de Vasconcelos, Antônio Luiz Pinho Ribeiro, Edson Cavalcanti Neto, Gabriela Paixão, Milton P. Ferreira, Paulo R. Gomes and Antônio H. Ribeiro. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Physiological Measurement.
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.