Stefan Schulz

11 papers and 253 indexed citations i.

About

Stefan Schulz is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Stefan Schulz has authored 11 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Stefan Schulz’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), Biomedical Text Mining and Ontologies (3 papers) and AI in cancer detection (3 papers). Stefan Schulz is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Biomedical Text Mining and Ontologies (3 papers) and AI in cancer detection (3 papers). Stefan Schulz collaborates with scholars based in Germany and Brazil. Stefan Schulz's co-authors include Ann-Christin Woerl, Daniel‐Christoph Wagner, Wilfried Roth, Sebastian Foersch, Aurélie Fernandez, Arndt Hartmann, Markus Eckstein, Jakob Nikolas Kather, Wilko Weichert and Moritz Jesinghaus and has published in prestigious journals such as Nature Medicine, Annals of Oncology and Thyroid.

In The Last Decade

Co-authorship network of co-authors of Stefan Schulz i

Fields of papers citing papers by Stefan Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stefan Schulz

Since Specialization
Citations

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