Christian Münzenmayer

26 papers and 396 indexed citations i.

About

Christian Münzenmayer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Christian Münzenmayer has authored 26 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Surgery. Recurrent topics in Christian Münzenmayer’s work include AI in cancer detection (9 papers), Colorectal Cancer Screening and Detection (4 papers) and Digital Imaging for Blood Diseases (4 papers). Christian Münzenmayer is often cited by papers focused on AI in cancer detection (9 papers), Colorectal Cancer Screening and Detection (4 papers) and Digital Imaging for Blood Diseases (4 papers). Christian Münzenmayer collaborates with scholars based in Germany, United States and Chile. Christian Münzenmayer's co-authors include Thomas Wittenberg, Torsten Haferlach, Carsten Marr, Christian Matek, Ralf Palmisano, Daniela Franz, Christian Held, Matthias Elter, Christian Winter and Michaela Benz and has published in prestigious journals such as Blood, CHEST Journal and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Christian Münzenmayer i

Fields of papers citing papers by Christian Münzenmayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christian Münzenmayer

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025