Yannick Suter

664 citations
17 papers · 392 indexed · h-index 11
Topics
Radiomics and Machine Learning in Medical Imaging (7 papers)Glioma Diagnosis and Treatment (4 papers)MRI in cancer diagnosis (3 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsThorax

In The Last Decade

Yannick Suter

16 papers receiving 388 citations

Peers

Yannick Suter
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 213
  • Biomedical Engineering 126
  • Pulmonary and Respiratory Medicine 54
  • Pediatrics, Perinatology and Child Health 51
  • Molecular Biology 45
Replace Victor Schmidbauer with:
Victor Schmidbauer Austria
Mitsuo Nishizawa Japan
Xianchun Zeng China
Tara Retson United States
Lalith Kumar Shiyam Sundar Austria
Sahar Ahmad United States
D. Rodríguez United Kingdom
Mariko Yoshida Takemura Japan
Daniel Barkmeier United States
Aymeric Stamm France
Yannick Suter relative to Victor Schmidbauer Austria Victor Schmidbauer's profile →
Citations per field
00.5×4.3×
Victor Schmidbauer · 1×
Citations per year

Countries citing papers authored by Yannick Suter

Since Specialization
Citations

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

Fields of papers citing papers by Yannick Suter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannick Suter

This figure shows the co-authorship network connecting the top 25 collaborators of Yannick Suter. A scholar is included among the top collaborators of Yannick Suter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yannick Suter. Yannick Suter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 21
2 6
3 23
4 2
5 7
6 13
7 16
8 0
9 43
10 11
11 53
12 2
13 10
14 102
15 51
16 1
17 31

About Yannick Suter

Yannick Suter is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 17 papers that have together received 392 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Glioma Diagnosis and Treatment (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Health Informatics (17 citations), Computational Mathematics (7 citations) and Radiology, Nuclear Medicine and Imaging (213 citations). Yannick Suter has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Mauricio Reyes, Pablo Sinues, Diego García‐Gómez, Lukas Bregy, Malcolm Kohler, Renato Zenobi, Roland Wiest, Martin Thomas Gaugg, Thomas Gaisl and Yvonne Nussbaumer‐Ochsner. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Thorax.

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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