Dominik Müller

13 papers and 356 indexed citations i.

About

Dominik Müller is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dominik Müller has authored 13 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dominik Müller’s work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (4 papers). Dominik Müller is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (4 papers). Dominik Müller collaborates with scholars based in Germany, Spain and Austria. Dominik Müller's co-authors include Frank Krämer, Iñaki Soto‐Rey, Philip Meyer, Florian Auer, Santiago Cepeda, Ignacio Arrese, Sergio García-García, Ramón Torné, Regina Santamäki Fischer and Lena Kaiser and has published in prestigious journals such as IEEE Access, BMC Research Notes and Brain Sciences.

In The Last Decade

Co-authorship network of co-authors of Dominik Müller i

Fields of papers citing papers by Dominik Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dominik Müller

Since Specialization
Citations

This map shows the geographic impact of Dominik Müller'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 Dominik Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Müller 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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2025