Gustav Müller‐Franzes

22 papers and 312 indexed citations i.

About

Gustav Müller‐Franzes is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Gustav Müller‐Franzes has authored 22 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Gustav Müller‐Franzes’s work include Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (7 papers) and MRI in cancer diagnosis (5 papers). Gustav Müller‐Franzes is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (7 papers) and MRI in cancer diagnosis (5 papers). Gustav Müller‐Franzes collaborates with scholars based in Germany, United Kingdom and United States. Gustav Müller‐Franzes's co-authors include Daniel Truhn, Christiane Kühl, Christoph Haarburger, Sven Nebelung, Jakob Nikolas Kather, Firas Khader, Dorit Merhof, Leon Weninger, Tianyu Han and Soroosh Tayebi Arasteh and has published in prestigious journals such as Nature Communications, Scientific Reports and Radiology.

In The Last Decade

Co-authorship network of co-authors of Gustav Müller‐Franzes i

Fields of papers citing papers by Gustav Müller‐Franzes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gustav Müller‐Franzes. 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 Gustav Müller‐Franzes. The network helps show where Gustav Müller‐Franzes may publish in the future.

Countries citing papers authored by Gustav Müller‐Franzes

Since Specialization
Citations

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