Benoît Mory

864 citations
30 papers · 592 · h-index 11

Impact in

Papers in

Benoît Mory

29 papers receiving 570 citations

Peers

Benoît Mory
Comparison fields: 5 of 71
  • Hepatology 122
  • Computer Vision and Pattern Recognition 210
  • Radiology, Nuclear Medicine and Imaging 188
  • Biomedical Engineering 89
  • Pulmonary and Respiratory Medicine 55
Replace Ryujiro Yokoyama with:
Ryujiro Yokoyama Japan
Hong‐Ming Tsai Taiwan
Baochun He China
Roberto Ardon France
Antonella Balestrieri Italy
Sebastian Eulenstein Germany
Jochen Krücker United States
Dirk Selle Germany
M K O'Boyle United States
Holger Bourquain Germany
Benoît Mory relative to Ryujiro Yokoyama Japan Ryujiro Yokoyama's profile →
Citations per field
00.5×1.5×
Ryujiro Yokoyama · 1×
Citations per year

Countries citing papers authored by Benoît Mory

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Mory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012133
2 201285
3 200575
4 200753
5 201349
6 201238
7 200828
8 201222
9 201315
10 200014
11 200712
12 20137
13 20107
14 20087
15 20037
16 20145
17 20125
18 20135
19 20135
20 20154

About Benoît Mory

Benoît Mory is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computational Mechanics and Hepatology, having authored 30 papers that have together received 592 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (15 papers), Advanced X-ray and CT Imaging (4 papers), Image and Object Detection Techniques (4 papers), Advanced Neural Network Applications (4 papers), MRI in cancer diagnosis (3 papers), Medical Imaging Techniques and Applications (3 papers), 3D Shape Modeling and Analysis (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Hepatology (122 citations), Computer Vision and Pattern Recognition (210 citations), Radiology, Nuclear Medicine and Imaging (188 citations), Biomedical Engineering (89 citations) and Pulmonary and Respiratory Medicine (55 citations). Benoît Mory has collaborated with scholars based in France, Finland and United States. Frequent co-authors include Roberto Ardon, Raphaël Prevost, Rémi Cuingnet, Laurent D. Cohen, David Lesage, Nikhil Bhagat, MingDe Lin, Jean-François H. Geschwind, Olivier Pellerin and Isabelle Etienney. Their work appears in journals such as Diseases of the Colon & Rectum, Academic Radiology, Lecture notes in computer science, International Journal of Computer Assisted Radiology and Surgery and International Journal of Hyperthermia.

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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