Benoît M. Dawant

17.2k citations
379 papers · 10.6k indexed · 1 hit paper · h-index 56

Impact in

Papers in

Benoît M. Dawant

365 papers receiving 10.4k citations

Hit Papers

Morphometric analysis of white matter lesions in MR images: method and validation 1994 · 969 citations
9691994202620042015250500750

Peers

Benoît M. Dawant
Comparison fields: 5 of 173
  • Sensory Systems 1.6k
  • Otorhinolaryngology 894
  • Cognitive Neuroscience 3.5k
  • Computer Vision and Pattern Recognition 2.9k
  • Radiology, Nuclear Medicine and Imaging 2.8k
Replace Jack H. Noble with:
Jack H. Noble United States
Christos Davatzikos United States
Patrick Chauvel France
Guido Gerig United States
Jean‐Philippe Thiran Switzerland
Paul A. Yushkevich United States
Wiro J. Niessen Netherlands
Brian Avants United States
Patrick Dupont Belgium
M. Jorge Cardoso United Kingdom
Benoît M. Dawant relative to Jack H. Noble United States Jack H. Noble's profile →
Citations per field
00.5×8.7×
Jack H. Noble · 1×
Citations per year

Countries citing papers authored by Benoît M. Dawant

Since Specialization
Citations

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

Fields of papers citing papers by Benoît M. Dawant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoît M. Dawant. 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 Benoît M. Dawant. The network helps show where Benoît M. Dawant may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20243
5 20244
6 20239
7 202352
8 20230
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10 20223
11 202055
12 20192
13 201440
14
Medical Imaging 2010: Physics of Medical Imaging
201077
15 200876
16 200830
17 200830
18 2006101
19 200218
20
Automatic lumbar vertebral identification using surface-based registration
20014

About Benoît M. Dawant

Benoît M. Dawant is a scholar working on Sensory Systems, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 379 papers that have together received 10.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (93 papers), Hearing Loss and Rehabilitation (85 papers), Neurological disorders and treatments (52 papers), Medical Imaging and Analysis (43 papers), Hearing, Cochlea, Tinnitus, Genetics (38 papers), Advanced MRI Techniques and Applications (38 papers), Medical Imaging Techniques and Applications (36 papers) and Robotics and Sensor-Based Localization (33 papers). The work is most often cited by research in Sensory Systems (1.6k citations), Otorhinolaryngology (894 citations), Cognitive Neuroscience (3.5k citations), Computer Vision and Pattern Recognition (2.9k citations) and Radiology, Nuclear Medicine and Imaging (2.8k citations). Benoît M. Dawant has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Jack H. Noble, Robert F. Labadie, Alex Zijdenbos, Richard Margolin, Andrew C. Palmer, René H. Gifford, J. Michael Fitzpatrick, Gustavo K. Rohde, Michael I. Miga and George B. Wanna. Their work appears in journals such as Otology & Neurotology, IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, Magnetic Resonance Imaging and Medical Physics.

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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