Maria Carr

801 citations
26 papers · 598 · h-index 13

Impact in

Papers in

Maria Carr

26 papers receiving 591 citations

Peers

Maria Carr
Comparison fields: 5 of 56
  • Cardiology and Cardiovascular Medicine 417
  • Radiology, Nuclear Medicine and Imaging 243
  • Pulmonary and Respiratory Medicine 210
  • Neurology 55
  • Epidemiology 70
Replace Thomas T. de Weert with:
Thomas T. de Weert Netherlands
Josepha Binder Austria
Jan Głowacki Poland
Zechen Zhou China
Chun Yuan United States
Christoph Strecker Germany
Κωνσταντίνος Κούσκουρας Greece
Kenichiro Suwa Japan
Arun Dahiya Australia
Young Woo United States
Maria Carr relative to Thomas T. de Weert Netherlands Thomas T. de Weert's profile →
Citations per field
00.5×2.9×
Thomas T. de Weert · 1×
Citations per year

Countries citing papers authored by Maria Carr

Since Specialization
Citations

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

Fields of papers citing papers by Maria Carr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 201678
3 201373
4 201554
5 201542
6 201641
7 201541
8 201631
9 199731
10 201828
11 201617
12 201815
13 201612
14 201811
15 201610
16 20177
17 20125
18 20135
19 20154
20 20152

About Maria Carr

Maria Carr is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Atomic and Molecular Physics, and Optics, having authored 26 papers that have together received 598 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Cardiac Imaging and Diagnostics (11 papers), Atrial Fibrillation Management and Outcomes (7 papers), Cardiovascular Function and Risk Factors (7 papers), Cardiac Arrhythmias and Treatments (5 papers), Cardiac Valve Diseases and Treatments (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (417 citations), Radiology, Nuclear Medicine and Imaging (243 citations), Pulmonary and Respiratory Medicine (210 citations), Neurology (55 citations) and Epidemiology (70 citations). Maria Carr has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include James Carr, Michael Markl, Jeffrey J. Goldberger, Daniel Lee, Jason Ng, Jeremy D. Collins, Alex J. Barker, Susanne Schnell, Patrick M. McCarthy and S. Chris Malaisrie. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, International journal of cardiac imaging, European Heart Journal - Cardiovascular Imaging, Journal of Magnetic Resonance Imaging and Investigative Radiology.

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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