Ludovic de Rochefort

3.9k citations
41 papers · 3.0k indexed · 2 hit papers · h-index 17
Topics
Advanced MRI Techniques and Applications (27 papers)Advanced Neuroimaging Techniques and Applications (13 papers)MRI in cancer diagnosis (10 papers)

In The Last Decade

Ludovic de Rochefort

41 papers receiving 2.9k citations

Hit Papers

Quantitative susceptibility map reconstruction from MR ph...200920262014202020092011100200300400500

Peers

Ludovic de Rochefort
Comparison fields: 5 of 102
  • Radiology, Nuclear Medicine and Imaging 2.4k
  • Cognitive Neuroscience 437
  • Atomic and Molecular Physics, and Optics 418
  • Neurology 329
  • Nuclear and High Energy Physics 297
Replace Berkin Bilgic̦ with:
Berkin Bilgic̦ United States
Andreas Deistung Germany
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Countries citing papers authored by Ludovic de Rochefort

Since Specialization
Citations

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

Fields of papers citing papers by Ludovic de Rochefort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ludovic de Rochefort. 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 Ludovic de Rochefort. The network helps show where Ludovic de Rochefort may publish in the future.

Co-authorship network of co-authors of Ludovic de Rochefort

This figure shows the co-authorship network connecting the top 25 collaborators of Ludovic de Rochefort. A scholar is included among the top collaborators of Ludovic de Rochefort based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ludovic de Rochefort. Ludovic de Rochefort is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 2
4 4
5 5
6 9
7 7
8 12
9 2
10
Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility mapbreakdown →
382
11 287
12 347
13
Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imagingbreakdown →
551
14 11
15 175
16 62
17 47
18 234
19 21
20 26

About Ludovic de Rochefort

Ludovic de Rochefort is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Spectroscopy, having authored 41 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (27 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and MRI in cancer diagnosis (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.4k citations), Nuclear and High Energy Physics (297 citations) and Cognitive Neuroscience (437 citations). Ludovic de Rochefort has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Pascal Spincemaille, Yi Wang, Tian Liu, Bryan Kressler, Yi Wang, Jing Liu, Ildar Khalidov, Martin R. Prince, Tian Liu and Apostolos John Tsiouris. Their work appears in journals such as NeuroImage, Journal of Applied Physiology and Magnetic Resonance in Medicine.

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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