Bénédicte Maréchal

1.2k citations
58 papers · 866 · h-index 16

Impact in

Papers in

Bénédicte Maréchal

53 papers receiving 845 citations

Peers

Bénédicte Maréchal
Comparison fields: 5 of 64
  • Psychiatry and Mental health 254
  • Pathology and Forensic Medicine 195
  • Radiology, Nuclear Medicine and Imaging 201
  • Neurology 43
  • Neurology 68
Replace Maria Marcella Laganà with:
Maria Marcella Laganà Italy
Kentaro Akazawa Japan
Jason Su United States
Bornali Kundu United States
Milan Arsić Germany
Fanny Munsch France
José E. Romero Spain
Emanuele Pravatà Switzerland
Guillaume Bonnier Switzerland
Julia Reinhardt Switzerland
Bénédicte Maréchal relative to Maria Marcella Laganà Italy Maria Marcella Laganà's profile →
Citations per field
00.5×1.5×2×2.4×
Maria Marcella Laganà · 1×
Citations per year

Countries citing papers authored by Bénédicte Maréchal

Since Specialization
Citations

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

Fields of papers citing papers by Bénédicte Maréchal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014170
2 2020116
3 202169
4 201838
5 201732
6 201724
7 201924
8 202323
9 201922
10 202222
11 201621
12 202021
13 201819
14 202219
15 202219
16 201716
17 201716
18 201815
19 201513
20 201912

About Bénédicte Maréchal

Bénédicte Maréchal is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition and Neurology, having authored 58 papers that have together received 866 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (25 papers), Dementia and Cognitive Impairment Research (13 papers), Medical Image Segmentation Techniques (11 papers), Multiple Sclerosis Research Studies (11 papers), Acute Ischemic Stroke Management (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Psychiatry and Mental health (254 citations), Pathology and Forensic Medicine (195 citations), Radiology, Nuclear Medicine and Imaging (201 citations), Neurology (43 citations) and Neurology (68 citations). Bénédicte Maréchal has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Tobias Kober, Reto Antoine Meuli, Gunnar Krüger, Alexis Roche, Cristina Granziera, Merixtell Bach-Cuadra, Philippe P. Maeder, Jonas Richiardi, Christopher Clark and Stefan Klöppel. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage Clinical, European Radiology, Magnetic Resonance Materials in Physics Biology and Medicine and Stroke.

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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