Michael Wels

29 papers and 451 indexed citations i.

About

Michael Wels is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Wels has authored 29 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 16 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Wels’s work include Medical Image Segmentation Techniques (8 papers), Advanced X-ray and CT Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Michael Wels is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Advanced X-ray and CT Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Michael Wels collaborates with scholars based in Germany, United States and China. Michael Wels's co-authors include Michael Suehling, Dorin Comaniciu, Joachim Hornegger, B. Michael Kelm, Yefeng Zheng, Martin Huber, Gustavo Carneiro, S. Kevin Zhou, Sascha Seifert and Greg Slabaugh and has published in prestigious journals such as Scientific Reports, Radiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Michael Wels i

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.

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).

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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