Markus Plass

23 papers and 513 indexed citations i.

About

Markus Plass is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Informatics. According to data from OpenAlex, Markus Plass has authored 23 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Health Informatics. Recurrent topics in Markus Plass’s work include Artificial Intelligence in Healthcare and Education (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and AI in cancer detection (6 papers). Markus Plass is often cited by papers focused on Artificial Intelligence in Healthcare and Education (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and AI in cancer detection (6 papers). Markus Plass collaborates with scholars based in Austria, Germany and Italy. Markus Plass's co-authors include Stephan Jahn, Farid Moinfar, Andreas Holzinger, Heimo Müller, Katharina Holzinger, Vasile Palade, Camelia-M. Pintea, Gloria Cerasela Crişan, Michael Kickmeier-Rust and Norman Zerbe and has published in prestigious journals such as Nature Communications, Cancer Research and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Markus Plass i

Fields of papers citing papers by Markus Plass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Markus Plass

Since Specialization
Citations

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