Amalia Peix
- Cardiology and Cardiovascular Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Biomedical Engineering
- Epidemiology
- Co-authors
- Maurizio DondiDiana PáezCláudio Tinoco MesquitaJoão V. VítolaErnest GarciaGanesan KarthikeyanFernando MutTeresa Massardo
- Topics
- Cardiac Imaging and Diagnostics (29 papers)Cardiac pacing and defibrillation studies (14 papers)Advanced MRI Techniques and Applications (11 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingHealth Informatics
- Journals
- European Journal of Nuclear Medicine and Molecular ImagingJournal of Women s HealthJournal of Nuclear Cardiology
- Partner nations
- AustriaCubaUnited States
In The Last Decade
Amalia Peix
39 papers receiving 312 citations
Peers
Comparison fields: 5 of 48
- Cardiology and Cardiovascular Medicine 242
- Radiology, Nuclear Medicine and Imaging 214
- Surgery 29
- Biomedical Engineering 28
- Epidemiology 17
Countries citing papers authored by Amalia Peix
This map shows the geographic impact of Amalia Peix'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 Amalia Peix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amalia Peix more than expected).
Fields of papers citing papers by Amalia Peix
This network shows the impact of papers produced by Amalia Peix. 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 Amalia Peix. The network helps show where Amalia Peix may publish in the future.
Co-authorship network of co-authors of Amalia Peix
This figure shows the co-authorship network connecting the top 25 collaborators of Amalia Peix. A scholar is included among the top collaborators of Amalia Peix 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 Amalia Peix. Amalia Peix 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 8 | |
| 19 | Gammagrafía de perfusión miocárdica con tecnecio 99m-MIBI en el diagnóstico de la enfermedad coronaria en mujeres | 0 |
| 20 | 20 |
About Amalia Peix
Amalia Peix is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 43 papers that have together received 330 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (29 papers), Cardiac pacing and defibrillation studies (14 papers) and Advanced MRI Techniques and Applications (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (242 citations), Radiology, Nuclear Medicine and Imaging (214 citations) and Health Informatics (3 citations). Amalia Peix has collaborated with scholars based in Austria, Cuba and United States. Frequent co-authors include Maurizio Dondi, Diana Páez, Cláudio Tinoco Mesquita, João V. Vítola, Ernest Garcia, Ganesan Karthikeyan, Diana Páez, Fernando Mut, Teresa Massardo and Erick Alexánderson. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Women s Health and Journal of Nuclear Cardiology.
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.