Béatrice Daoud

589 citations
8 papers · 442 · h-index 7

Impact in

Papers in

    • Cardiac Imaging and Diagnostics 7
    • Advanced MRI Techniques and Applications 2
    • Radiation Dose and Imaging 1
    • COVID-19 diagnosis using AI 1
    • Infrared Thermography in Medicine 1
    • Coronary Interventions and Diagnostics 2

Béatrice Daoud

7 papers receiving 423 citations

Peers

Béatrice Daoud
Comparison fields: 5 of 21
  • Radiology, Nuclear Medicine and Imaging 352
  • Cardiology and Cardiovascular Medicine 80
  • Biomedical Engineering 146
  • Critical Care and Intensive Care Medicine 7
  • Surgery 53
Replace Nan Zhuang with:
Nan Zhuang China
Salvatore Carbonaro United States
B. A. Herzog Switzerland
Monika Wieser Switzerland
Caterina Silva United States
Robert S. Jennings United States
A Küttner Germany
Leonardo Sara Brazil
Ulrike Ropers Germany
Antonio Moscariello United States
Béatrice Daoud relative to Nan Zhuang China Nan Zhuang's profile →
Citations per field
00.5×
Nan Zhuang · 1×
Citations per year

Countries citing papers authored by Béatrice Daoud

Since Specialization
Citations

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

Fields of papers citing papers by Béatrice Daoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Béatrice Daoud, 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 Béatrice Daoud Line = papers co-authored together Béatrice Daoud links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006162
2 200691
3 200663
4 200762
5
Comparison of 64-slice computed tomography planimetry and Doppler echocardiography in the assessment of aortic valve stenosis.
200731
6 202020
7 200513
8 20080

About Béatrice Daoud

Béatrice Daoud is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Infectious Diseases, having authored 8 papers that have together received 442 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Advanced X-ray and CT Imaging (2 papers), Coronary Interventions and Diagnostics (2 papers), Advanced MRI Techniques and Applications (2 papers), Radiation Dose and Imaging (1 paper), COVID-19 diagnosis using AI (1 paper), Infrared Thermography in Medicine (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (352 citations), Cardiology and Cardiovascular Medicine (80 citations), Biomedical Engineering (146 citations), Critical Care and Intensive Care Medicine (7 citations) and Surgery (53 citations). Béatrice Daoud has collaborated with scholars based in France. Frequent co-authors include Jean‐François Paul, Anne Sigal-Cinqualbre, Hicham T. Abada, B Lancelin, Christophe Caussin, Saïd Ghostine, Michel Habis, André Capderou, Claude-Yves Angel and Éric Perrier. Their work appears in journals such as The American Journal of Cardiology, American Journal of Roentgenology, Journal of the American College of Cardiology, La Presse Médicale and PubMed.

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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