Stanislas Rapacchi

2.1k citations
87 papers · 1.6k · h-index 21

Impact in

Papers in

Stanislas Rapacchi

82 papers receiving 1.6k citations

Peers

Stanislas Rapacchi
Comparison fields: 5 of 85
  • Radiology, Nuclear Medicine and Imaging 809
  • Cardiology and Cardiovascular Medicine 455
  • Computational Mathematics 11
  • Radiation 131
  • Structural Biology 11
Replace Sònia Nielles‐Vallespin with:
Sònia Nielles‐Vallespin United Kingdom
Holger Eggers Germany
Edward C. Parsons United States
Evert-Jan P. A. Vonken Netherlands
José G. Raya United States
Pedro Ferreira United Kingdom
Claudia Prieto United Kingdom
Glyn A. Coutts United Kingdom
Menahem Nassí United States
Michael S. Hansen United States
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Citations per field
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Citations per year

Countries citing papers authored by Stanislas Rapacchi

Since Specialization
Citations

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

Fields of papers citing papers by Stanislas Rapacchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012182
2 2021131
3 2009113
4 2013111
5 202257
6 201457
7 201154
8 201144
9 201543
10 202342
11 201541
12 201739
13 201339
14 201138
15 201636
16 201334
17 201532
18 201027
19 201726
20 201123

About Stanislas Rapacchi

Stanislas Rapacchi is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics, and Optics, Radiation and Spectroscopy, having authored 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (46 papers), Cardiac Imaging and Diagnostics (18 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Cardiovascular Function and Risk Factors (9 papers), Atomic and Subatomic Physics Research (8 papers), MRI in cancer diagnosis (8 papers), Advanced NMR Techniques and Applications (4 papers) and Cardiovascular Disease and Adiposity (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (809 citations), Cardiology and Cardiovascular Medicine (455 citations), Computational Mathematics (11 citations), Radiation (131 citations) and Structural Biology (11 citations). Stanislas Rapacchi has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Peng Hu, John Paul Finn, Pierre Croisille, Han Wen, Eric E. Bennett, Fei Han, Shams Rashid, Kalyanam Shivkumar, Adam N. Plotnik and Hervé Delingette. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Cardiovascular Magnetic Resonance, Radiology, Magnetic Resonance Imaging and Diagnostic and Interventional Imaging.

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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