Muriel Perrin

993 citations
13 papers · 799 · h-index 7

Impact in

Papers in

Muriel Perrin

13 papers receiving 773 citations

Peers

Muriel Perrin
Comparison fields: 5 of 72
  • Computational Mathematics 43
  • Radiology, Nuclear Medicine and Imaging 637
  • Pediatrics, Perinatology and Child Health 236
  • Cognitive Neuroscience 192
  • Orthopedics and Sports Medicine 41
Replace J J Neil with:
J J Neil United States
Maxime Chamberland United Kingdom
Zhexing Liu China
Rafael Neto Henriques Portugal
Delphine Duclap France
Emmanuel Caruyer France
Da Xing United Kingdom
Yurui Gao United States
Liang Xuan China
Lisa C. Krishnamurthy United States
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Citations per field
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Citations per year

Countries citing papers authored by Muriel Perrin

Since Specialization
Citations

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

Fields of papers citing papers by Muriel Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2007317
2 2008161
3 2005110
4 200598
5 201061
6 200826
7 20118
8 20096
9
Thromboses veineuses superficielles des membres inférieurs
20083
10 20083
11 20083
12
[Critical study and Doppler-arteriographies correlations in a homogeneous series of 115 examinations of the lower limbs (author's transl)].
19822
13 20091

About Muriel Perrin

Muriel Perrin is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mathematics, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Internal Medicine, having authored 13 papers that have together received 799 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (5 papers), MRI in cancer diagnosis (3 papers), Fetal and Pediatric Neurological Disorders (2 papers), Tensor decomposition and applications (2 papers), Functional Brain Connectivity Studies (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper) and Peripheral Artery Disease Management (1 paper). The work is most often cited by research in Computational Mathematics (43 citations), Radiology, Nuclear Medicine and Imaging (637 citations), Pediatrics, Perinatology and Child Health (236 citations), Cognitive Neuroscience (192 citations) and Orthopedics and Sports Medicine (41 citations). Muriel Perrin has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Jean‐François Mangin, Cyril Poupon, Yann Cointepas, Denis Le Bihan, Édouard Duchesnay, Ghislaine Dehaene‐Lambertz, Lucie Hertz‐Pannier, André Constantinesco, Fabrice Poupon and Denis Lebihan. Their work appears in journals such as Journal of Neuroradiology, Human Brain Mapping, Magnetic Resonance in Medicine, Philosophical Transactions of the Royal Society B Biological Sciences and Lecture notes in computer science.

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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