Leonardo A. Rivera‐Rivera
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Neurology top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Sterling C. JohnsonOliver WiebenKevin M. JohnsonHoward A. RowleyCynthia M. CarlssonPatrick A. TurskiSara E. BermanLaura Eisenmenger
- Topics
- Cerebrovascular and Carotid Artery Diseases (25 papers)Cardiovascular Health and Disease Prevention (20 papers)Advanced MRI Techniques and Applications (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Leonardo A. Rivera‐Rivera
43 papers receiving 702 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 291
- Pulmonary and Respiratory Medicine 255
- Cardiology and Cardiovascular Medicine 228
- Neurology 212
- Cellular and Molecular Neuroscience 95
Countries citing papers authored by Leonardo A. Rivera‐Rivera
This map shows the geographic impact of Leonardo A. Rivera‐Rivera'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 Leonardo A. Rivera‐Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo A. Rivera‐Rivera more than expected).
Fields of papers citing papers by Leonardo A. Rivera‐Rivera
This network shows the impact of papers produced by Leonardo A. Rivera‐Rivera. 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 Leonardo A. Rivera‐Rivera. The network helps show where Leonardo A. Rivera‐Rivera may publish in the future.
Co-authorship network of co-authors of Leonardo A. Rivera‐Rivera
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo A. Rivera‐Rivera. A scholar is included among the top collaborators of Leonardo A. Rivera‐Rivera 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 Leonardo A. Rivera‐Rivera. Leonardo A. Rivera‐Rivera 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 | 0 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 22 | |
| 10 | 4 | |
| 11 | 25 | |
| 12 | 22 | |
| 13 | 16 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 59 | |
| 18 | 6 | |
| 19 | 19 | |
| 20 | 69 |
About Leonardo A. Rivera‐Rivera
Leonardo A. Rivera‐Rivera is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Neurology, having authored 53 papers that have together received 709 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (25 papers), Cardiovascular Health and Disease Prevention (20 papers) and Advanced MRI Techniques and Applications (17 papers). The work is most often cited by research in Neurology (212 citations), Radiology, Nuclear Medicine and Imaging (291 citations) and Cardiology and Cardiovascular Medicine (228 citations). Leonardo A. Rivera‐Rivera has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Sterling C. Johnson, Oliver Wieben, Kevin M. Johnson, Howard A. Rowley, Cynthia M. Carlsson, Patrick A. Turski, Sara E. Berman, Laura Eisenmenger, Tilman Schubert and Jill N. Barnes. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.