Mathilde Pachot‐Clouard

872 citations
14 papers · 682 · h-index 10

Impact in

Papers in

Mathilde Pachot‐Clouard

14 papers receiving 659 citations

Peers

Mathilde Pachot‐Clouard
Comparison fields: 5 of 73
  • Computational Mathematics 17
  • Neurology 208
  • Sensory Systems 53
  • Radiology, Nuclear Medicine and Imaging 197
  • Cognitive Neuroscience 164
Replace Jean-François Mangin with:
Jean-François Mangin France
Gavin C. Houston United Kingdom
Lara Schlaffke Germany
Stefan Felber Austria
Margit Jehna Austria
Salem Hannoun Lebanon
Seiro Yoshioka Japan
Elisabeth Soulier France
Pim Pullens Belgium
Jennifer S. W. Campbell Canada
Mathilde Pachot‐Clouard relative to Jean-François Mangin France Jean-François Mangin's profile →
Citations per field
00.5×7.6×
Jean-François Mangin · 1×
Citations per year

Countries citing papers authored by Mathilde Pachot‐Clouard

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Pachot‐Clouard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathilde Pachot‐Clouard. 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 Mathilde Pachot‐Clouard. The network helps show where Mathilde Pachot‐Clouard may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1999171
2 2000146
3 200191
4 199861
5 200457
6 200646
7 200145
8 199822
9 199515
10 200214
11 20067
12 20005
13 20011
14
[Non-invasive imaging of atherosclerosis by MRI and ultrasonography].
19991

About Mathilde Pachot‐Clouard

Mathilde Pachot‐Clouard is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pulmonary and Respiratory Medicine, Neurology and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 682 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Cardiac Imaging and Diagnostics (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Reading and Literacy Development (2 papers), Neurobiology of Language and Bilingualism (2 papers), Cerebrovascular and genetic disorders (2 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Computational Mathematics (17 citations), Neurology (208 citations), Sensory Systems (53 citations), Radiology, Nuclear Medicine and Imaging (197 citations) and Cognitive Neuroscience (164 citations). Mathilde Pachot‐Clouard has collaborated with scholars based in France, United States and Denmark. Frequent co-authors include Denis Le Bihan, Christoph Segebarth, Katayoun Vahedi, Sabina Pappatà, Hugues Chabriat, Antoinette Jobert, Jean‐François Mangin, Fabrice Poupon, Cyril Poupon and Leif Østergaard. Their work appears in journals such as Stroke, NeuroImage, Magnetic Resonance in Medicine, Magnetic Resonance Materials in Physics Biology and Medicine and Cortex.

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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