Roger Schaer

535 citations
18 papers · 191 · h-index 10

Impact in

Papers in

Roger Schaer

18 papers receiving 182 citations

Peers

Roger Schaer
Comparison fields: 5 of 71
  • Health Informatics 26
  • Health Information Management 24
  • Radiology, Nuclear Medicine and Imaging 74
  • Computer Vision and Pattern Recognition 41
  • Artificial Intelligence 60
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Citations per year

Countries citing papers authored by Roger Schaer

Since Specialization
Citations

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

Fields of papers citing papers by Roger Schaer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201231
2 202328
3 202119
4 201418
5 201614
6
Overview of the medical tasks in ImageCLEF 2016
201613
7 202113
8 202211
9
VISCERAL | VISual Concept Extraction challenge in RAdioLogy: ISBI 2014 Challenge Organization
201410
10 201510
11 20237
12 20205
13
Overview of the VISCERAL Challenge at ISBI 2015
20155
14 20243
15 20241
16 20231
17 20241
18
KHRESMOI for radiologists - Visual search in radiology archives and the open-access medical literature
20131

About Roger Schaer

Roger Schaer is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics, having authored 18 papers that have together received 191 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced X-ray and CT Imaging (7 papers), Medical Imaging Techniques and Applications (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), AI in cancer detection (3 papers), Image Retrieval and Classification Techniques (2 papers), Renal cell carcinoma treatment (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (26 citations), Health Information Management (24 citations), Radiology, Nuclear Medicine and Imaging (74 citations), Computer Vision and Pattern Recognition (41 citations) and Artificial Intelligence (60 citations). Roger Schaer has collaborated with scholars based in Switzerland, Netherlands and United States. Frequent co-authors include Henning Müller, Adrien Depeursinge, Ivan Eggel, Florian Évéquoz, John O. Prior, Michael Bach, Markus M. Obmann, Christoph Aberle, Mario Jreige and Bram Stieltjes. Their work appears in journals such as Investigative Radiology, Medical Physics, Scientific Reports, Frontiers in Communication and European Radiology Experimental.

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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