Fima Macheret
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology
- Artificial Intelligence top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Lucila Ohno‐MachadoWentao LiRodney A. GabrielYingxiang HuangJohn C. BurnettAlessandro CataliottiYasuhiro IkedaDenise M. Heublein
- Topics
- Atrial Fibrillation Management and Outcomes (8 papers)Heart Failure Treatment and Management (7 papers)Cardiac electrophysiology and arrhythmias (6 papers)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Fima Macheret
20 papers receiving 703 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 401
- Epidemiology 115
- Artificial Intelligence 98
- Surgery 83
- Pulmonary and Respiratory Medicine 69
Countries citing papers authored by Fima Macheret
This map shows the geographic impact of Fima Macheret'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 Fima Macheret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fima Macheret more than expected).
Fields of papers citing papers by Fima Macheret
This network shows the impact of papers produced by Fima Macheret. 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 Fima Macheret. The network helps show where Fima Macheret may publish in the future.
Co-authorship network of co-authors of Fima Macheret
This figure shows the co-authorship network connecting the top 25 collaborators of Fima Macheret. A scholar is included among the top collaborators of Fima Macheret 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 Fima Macheret. Fima Macheret 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 | 7 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 9 | |
| 9 | A tutorial on calibration measurements and calibration models for clinical prediction modelsbreakdown → | 232 |
| 10 | 146 | |
| 11 | 1 | |
| 12 | 55 | |
| 13 | 24 | |
| 14 | 78 | |
| 15 | 61 | |
| 16 | 5 | |
| 17 | 45 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 1 |
About Fima Macheret
Fima Macheret is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Health Information Management, having authored 21 papers that have together received 713 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (8 papers), Heart Failure Treatment and Management (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Health Informatics (33 citations), Cardiology and Cardiovascular Medicine (401 citations) and Health Information Management (67 citations). Fima Macheret has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Lucila Ohno‐Machado, Wentao Li, Rodney A. Gabriel, Yingxiang Huang, John C. Burnett, Alessandro Cataliotti, Yasuhiro Ikeda, Denise M. Heublein, Oscar Ö. Braun and Lisa C. Costello‐Boerrigter. Their work appears in journals such as Journal of the American College of Cardiology, Clinical Chemistry and Heart.
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.