Mark Rabbat

4.3k citations
75 papers · 1.3k · h-index 21

Impact in

Papers in

Mark Rabbat

71 papers receiving 1.2k citations

Peers

Mark Rabbat
Comparison fields: 5 of 101
  • Radiology, Nuclear Medicine and Imaging 694
  • Health Informatics 39
  • Cardiology and Cardiovascular Medicine 593
  • Surgery 497
  • Biomedical Engineering 368
Replace Ibrahim Danad with:
Ibrahim Danad Netherlands
Jasper Boeddinghaus Switzerland
Amir Ahmadi United States
Riccardo Cau Italy
Dante Chiappino Italy
Changdong Guan China
Andrea Igoren Guaricci Italy
Lukáš Lambert Czechia
Alberto Polimeni Italy
Amardeep Ghosh Dastidar United Kingdom
Mark Rabbat relative to Ibrahim Danad Netherlands Ibrahim Danad's profile →
Citations per field
00.5×1.5×
Ibrahim Danad · 1×
Citations per year

Countries citing papers authored by Mark Rabbat

Since Specialization
Citations

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

Fields of papers citing papers by Mark Rabbat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004159
2 201977
3 200276
4 200962
5 202057
6 201751
7 201940
8 201740
9 201939
10 202037
11 201733
12 201831
13 201629
14 201825
15 202225
16 200223
17 202323
18 202023
19 202222
20 201820

About Mark Rabbat

Mark Rabbat is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Surgery, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (54 papers), Advanced MRI Techniques and Applications (23 papers), Coronary Interventions and Diagnostics (22 papers), Cardiovascular Function and Risk Factors (12 papers), Advanced X-ray and CT Imaging (8 papers), Cardiovascular Disease and Adiposity (8 papers), Acute Myocardial Infarction Research (8 papers) and Cardiac Valve Diseases and Treatments (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (694 citations), Health Informatics (39 citations), Cardiology and Cardiovascular Medicine (593 citations), Surgery (497 citations) and Biomedical Engineering (368 citations). Mark Rabbat has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Gianluca Pontone, Deepak L. Bhatt, Andrea Igoren Guaricci, Ashwin Nagaraj, Andrew J. Hamilton, Melvin E. Klegerman, David D. McPherson, Bonnie J. Kane, Marco Guglielmo and Shaoling Huang. Their work appears in journals such as Journal of cardiovascular computed tomography, Journal of Clinical Medicine, Journal of Cardiovascular Magnetic Resonance, BioMed Research International and Frontiers in Cardiovascular 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.

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