Michael Wels

856 citations
41 papers · 665 · h-index 16

Impact in

Papers in

Michael Wels

39 papers receiving 647 citations

Peers

Michael Wels
Comparison fields: 5 of 68
  • Health Informatics 33
  • Oral Surgery 77
  • Radiology, Nuclear Medicine and Imaging 207
  • Computer Vision and Pattern Recognition 168
  • Neurology 56
Replace Stephanie Leung with:
Stephanie Leung Canada
Michael Suehling Germany
Nikolas Leßmann Netherlands
Chengwen Chu Switzerland
Keewon Shin South Korea
Zhenyuan Ning China
Avi Ben-Cohen Israel
R Garberoglio Italy
Ryoungwoo Jang South Korea
Michael Wels relative to Stephanie Leung Canada Stephanie Leung's profile →
Citations per field
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Stephanie Leung · 1×
Citations per year

Countries citing papers authored by Michael Wels

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201297
2 200866
3 201348
4 201938
5 200637
6 201136
7 201927
8 202124
9 202123
10 201322
11 201919
12 201319
13 200918
14 201218
15 201116
16 202215
17 200815
18 202014
19 202211
20 202311

About Michael Wels

Michael Wels is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Surgery and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 665 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Cardiac Imaging and Diagnostics (9 papers), Medical Imaging and Analysis (8 papers), Advanced X-ray and CT Imaging (7 papers), Brain Tumor Detection and Classification (4 papers), Medical Imaging Techniques and Applications (4 papers), Coronary Interventions and Diagnostics (4 papers) and Dental Radiography and Imaging (4 papers). The work is most often cited by research in Health Informatics (33 citations), Oral Surgery (77 citations), Radiology, Nuclear Medicine and Imaging (207 citations), Computer Vision and Pattern Recognition (168 citations) and Neurology (56 citations). Michael Wels has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Dorin Comaniciu, Michael Suehling, B. Michael Kelm, Yefeng Zheng, Joachim Hornegger, Martin Huber, S. Kevin Zhou, Sascha Seifert, Gustavo Carneiro and Tong Fang. Their work appears in journals such as Frontiers in Oncology, European Radiology, Scientific Reports, Journal of Thoracic Imaging and Investigative 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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