Stanislas Rapacchi

1.9k citations
76 papers · 1.2k indexed · h-index 18

Impact in

Papers in

Stanislas Rapacchi

72 papers receiving 1.2k citations

Peers

Stanislas Rapacchi
Comparison fields: 5 of 87
  • Radiology, Nuclear Medicine and Imaging 830
  • Cardiology and Cardiovascular Medicine 459
  • Radiation 124
  • Structural Biology 11
  • Computational Mathematics 4
Replace Sònia Nielles‐Vallespin with:
Sònia Nielles‐Vallespin United Kingdom
José G. Raya United States
Akihiro Haga Japan
Peter Speier Germany
Rohan Dharmakumar United States
Ehud J. Schmidt United States
Ravi T. Seethamraju United States
Thomas Küstner Germany
Jeffrey Tsao Switzerland
Stanislas Rapacchi relative to Sònia Nielles‐Vallespin United Kingdom Sònia Nielles‐Vallespin's profile →
Citations per field
00.5×3.5×
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-authorship network

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
#Work
1 20250
2 20251
3 20240
4 20233
5 20236
6 20230
7 20233
8 20237
9 20232
10 202216
11 20217
12 20213
13 202014
14 202014
15 202014
16 201810
17 201813
18 201529
19 201141
20 201026

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 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (58 papers), Cardiac Imaging and Diagnostics (26 papers), Atomic and Subatomic Physics Research (17 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Cardiovascular Function and Risk Factors (15 papers), MRI in cancer diagnosis (11 papers), Medical Imaging Techniques and Applications (7 papers) and Cardiovascular Disease and Adiposity (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (830 citations), Cardiology and Cardiovascular Medicine (459 citations), Radiation (124 citations), Structural Biology (11 citations) and Computational Mathematics (4 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, Shams Rashid, Kalyanam Shivkumar, Adam N. Plotnik and Maxime Guye. 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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