Stanislas Rapacchi

2.0k citations
82 papers · 1.4k · h-index 20

Impact in

Papers in

Stanislas Rapacchi

75 papers receiving 1.3k citations

Peers

Stanislas Rapacchi
Comparison fields: 5 of 81
  • Radiology, Nuclear Medicine and Imaging 738
  • Computational Mathematics 11
  • Cardiology and Cardiovascular Medicine 353
  • Radiation 130
  • Structural Biology 11
Replace Sònia Nielles‐Vallespin with:
Sònia Nielles‐Vallespin United Kingdom
José G. Raya United States
Akihiro Haga Japan
Pedro Ferreira United Kingdom
Radhouène Neji United Kingdom
Aurélien Bustin France
Gastão Cruz United Kingdom
Peter Speier Germany
Yi-Hwa Liu United States
Jonathan I. Sperl Germany
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Citations per field
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Sònia Nielles‐Vallespin · 1×
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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012176
2 2009114
3 2013104
4 201456
5 201150
6 202248
7 201142
8 201539
9 201539
10 201337
11 201736
12 201635
13 201135
14 201333
15 201529
16 201027
17 201725
18 201121
19 201520
20 201420

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, Epidemiology and Spectroscopy, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (45 papers), Cardiac Imaging and Diagnostics (17 papers), Advanced Neuroimaging Techniques and Applications (12 papers), MRI in cancer diagnosis (8 papers), Atomic and Subatomic Physics Research (8 papers), Cardiovascular Function and Risk Factors (8 papers), Medical Imaging 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 (738 citations), Computational Mathematics (11 citations), Cardiology and Cardiovascular Medicine (353 citations), Radiation (130 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, J. Paul Finn, Pierre Croisille, Eric E. Bennett, Han Wen, Fei Han, Kalyanam Shivkumar, Shams Rashid, Nicholas Ayache and Adam N. Plotnik. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Cardiovascular Magnetic Resonance, Radiology, Diagnostic and Interventional Imaging and Magnetic Resonance 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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