Fima Macheret

1.2k citations
22 papers · 784 · 1 hit paper · h-index 11

Impact in

Papers in

Fima Macheret

21 papers receiving 773 citations

Fima Macheret's Hit Papers

A tutorial on calibration measurements and calibration models for clinical prediction models 2020 · 257 citations
2570+2+4Years since publication50100150200250

Peers

Fima Macheret
Comparison fields: 5 of 103
  • Health Informatics 23
  • Cardiology and Cardiovascular Medicine 320
  • Health Information Management 57
  • Epidemiology 78
  • Critical Care and Intensive Care Medicine 10
Replace Subhi J. Al’Aref with:
Subhi J. Al’Aref United States
Linyuan Jing United States
Gregory J Wehner United States
Joseph B. Leader United States
Eliot Peyster United States
Sulaiman Somani United States
Vicent Ribas Spain
Julian S. Haimovich United States
Márton Tokodi Hungary
Sukrit Narula United States
Fima Macheret relative to Subhi J. Al’Aref United States Subhi J. Al’Aref's profile →
Citations per field
00.5×1.5×
Subhi J. Al’Aref · 1×
Citations per year

Countries citing papers authored by Fima Macheret

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Fima Macheret, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fima Macheret Line = papers co-authored together Fima Macheret links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A tutorial on calibration measurements and calibration models for clinical prediction models
Hit paper breakdown →
2020257
2 2019156
3 201279
4 201161
5 201555
6 201146
7 201325
8 200725
9 202222
10 202411
11 202210
12 202310
13 20237
14 20225
15 20115
16 20244
17 20102
18 20191
19 20091
20 20221

About Fima Macheret

Fima Macheret is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Epidemiology, Surgery and Molecular Biology, having authored 22 papers that have together received 784 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (8 papers), Atrial Fibrillation Management and Outcomes (5 papers), Cardiovascular Disease and Adiposity (3 papers), Machine Learning in Healthcare (2 papers), Artificial Intelligence in Healthcare (1 paper), Cardiovascular Effects of Exercise (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Advanced Nanomaterials in Catalysis (1 paper). The work is most often cited by research in Health Informatics (23 citations), Cardiology and Cardiovascular Medicine (320 citations), Health Information Management (57 citations), Epidemiology (78 citations) and Critical Care and Intensive Care Medicine (10 citations). Fima Macheret has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Yingxiang Huang, Rodney A. Gabriel, Lucila Ohno‐Machado, Wentao Li, John C. Burnett, Alessandro Cataliotti, Yasuhiro Ikeda, Barry Greenberg, Marcus A. Urey and Guido Boerrigter. Their work appears in journals such as Journal of the American College of Cardiology, Heart Rhythm, Frontiers in Cardiovascular Medicine, Journal of the American Medical Informatics Association and Clinical Chemistry.

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.

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