Benoît Sauer

489 citations
23 papers · 372 · h-index 9

Impact in

Papers in

Benoît Sauer

23 papers receiving 344 citations

Peers

Benoît Sauer
Comparison fields: 5 of 39
  • Pulmonary and Respiratory Medicine 153
  • Rheumatology 35
  • Reproductive Medicine 26
  • Radiology, Nuclear Medicine and Imaging 55
  • Emergency Medicine 16
Replace M Treitl with:
M Treitl Germany
Francesco Giuseppe Mazzei Italy
Sakinah A. Thiryayi United Kingdom
Bo Kalin Sweden
Nevada Cioffi Squitieri Italy
Yulia V. Melenevsky United States
Carlo Pellegrino Italy
F. Wallis Ireland
Pétur Hannesson Sweden
David S. Hubbell United States
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200882
2 200671
3 200558
4 200733
5 200826
6 200722
7 200715
8 200813
9 200811
10 20217
11 20076
12 20075
13 20075
14 20075
15 20223
16 20062
17 20132
18 20031
19 20061
20 20071

About Benoît Sauer

Benoît Sauer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 372 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (5 papers), Medical Imaging Techniques and Applications (5 papers), Radiation Dose and Imaging (3 papers), Pediatric Urology and Nephrology Studies (3 papers), Medical Image Segmentation Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced X-ray and CT Imaging (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (153 citations), Rheumatology (35 citations), Reproductive Medicine (26 citations), Radiology, Nuclear Medicine and Imaging (55 citations) and Emergency Medicine (16 citations). Benoît Sauer has collaborated with scholars based in France and Switzerland. Frequent co-authors include Catherine Roy, Alain Blum, Xavier Buy, Afshin Gangi, Jacques Hubert, Hervé Lang, CHRISTIAN SAUSSINE, Jacques Felblinger, Véronique Lindner and Didier Jacqmin D. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Seminars in Ultrasound CT and MRI, European Journal of Radiology, Journal of Endourology and European Radiology.

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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