Rima Arnaout
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Cell Biology top 5%
- Health Informatics top 0.2%
- Co-authors
- Ramy ArnaoutDidier Y. R. StainierAli MadaniSven ReischauerMohammad R. K. MofradGiorgio QuerPhilipp GutMartin Tristani‐Firouzi
- Topics
- Artificial Intelligence in Healthcare and Education (10 papers)Congenital heart defects research (9 papers)Congenital Heart Disease Studies (7 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Rima Arnaout
39 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Cardiology and Cardiovascular Medicine 705
- Molecular Biology 602
- Radiology, Nuclear Medicine and Imaging 461
- Cell Biology 335
- Health Informatics 328
Countries citing papers authored by Rima Arnaout
This map shows the geographic impact of Rima Arnaout'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 Rima Arnaout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rima Arnaout more than expected).
Fields of papers citing papers by Rima Arnaout
This network shows the impact of papers produced by Rima Arnaout. 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 Rima Arnaout. The network helps show where Rima Arnaout may publish in the future.
Co-authorship network of co-authors of Rima Arnaout
This figure shows the co-authorship network connecting the top 25 collaborators of Rima Arnaout. A scholar is included among the top collaborators of Rima Arnaout 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 Rima Arnaout. Rima Arnaout 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 | 9 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 13 | |
| 15 | Abstract 14334: Postpartum Depression: A Novel Predictor of Cardiovascular Disease Risk in Women | 5 |
| 16 | 97 | |
| 17 | 53 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | 207 |
About Rima Arnaout
Rima Arnaout is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (10 papers), Congenital heart defects research (9 papers) and Congenital Heart Disease Studies (7 papers). The work is most often cited by research in Health Informatics (328 citations), Cardiology and Cardiovascular Medicine (705 citations) and Health Information Management (102 citations). Rima Arnaout has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ramy Arnaout, Didier Y. R. Stainier, Ali Madani, Sven Reischauer, Mohammad R. K. Mofrad, Giorgio Quer, Philipp Gut, Martin Tristani‐Firouzi, Jan Huisken and Tania Ferrer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.
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.