Usman Baber

4.5k citations
72 papers · 2.5k indexed · 2 hit papers · h-index 25

Usman Baber

65 papers receiving 2.5k citations

Hit Papers

Machine learning prediction in cardiovascular diseases: a...264201920262021202350100150200250

Peers

Usman Baber
Comparison fields: 5 of 128
  • Health Informatics 93
  • Cardiology and Cardiovascular Medicine 1.5k
  • Health Information Management 186
  • Internal Medicine 148
  • Radiology, Nuclear Medicine and Imaging 720
Replace Ki‐Hyun Jeon with:
Ki‐Hyun Jeon South Korea
Kye Hun Kim South Korea
Naveen L. Pereira United States
Evangelos K. Oikonomou United States
Aditya Sharma United States
Lauren Beussink‐Nelson United States
Brendan M. Everett United States
Zaza Iakobishvili Israel
Roy Beigel Israel
Senthil Selvaraj United States
Usman Baber relative to Ki‐Hyun Jeon South Korea Ki‐Hyun Jeon's profile →
Citations per field
00.5×2.8×
Ki‐Hyun Jeon · 1×
Citations per year

Countries citing papers authored by Usman Baber

Since Specialization
Citations

This map shows the geographic impact of Usman Baber'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 Usman Baber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Usman Baber more than expected).

Fields of papers citing papers by Usman Baber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Usman Baber. 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 Usman Baber. The network helps show where Usman Baber may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Usman Baber, 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 Usman Baber Line = papers co-authored together Usman Baber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20232
3 202022
4 20201
5 202042
6 20209
7 201911
8 20190
9 20181
10 201730
11 201645
12 2016138
13 201617
14 201621
15 20151
16 201554
17 201420
18 201443
19 20121
20 200933

About Usman Baber

Usman Baber is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (26 papers), Antiplatelet Therapy and Cardiovascular Diseases (22 papers), Cardiac Imaging and Diagnostics (21 papers), Acute Myocardial Infarction Research (16 papers), Cardiac Valve Diseases and Treatments (10 papers), Atrial Fibrillation Management and Outcomes (9 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Lipoproteins and Cardiovascular Health (7 papers). The work is most often cited by research in Health Informatics (93 citations), Cardiology and Cardiovascular Medicine (1.5k citations) and Health Information Management (186 citations). Usman Baber has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Roxana Mehran, Jonathan L. Halperin, George Dangas, Annapoorna Kini, Samin K. Sharma, W.H. Wilson Tang, Chayakrit Krittanawong, Paul Muntner, Valentı́n Fuster and Kipp W. Johnson.

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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