Matthias Eisenmann

6 papers and 101 indexed citations i.

About

Matthias Eisenmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Health Informatics. According to data from OpenAlex, Matthias Eisenmann has authored 6 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Health Informatics. Recurrent topics in Matthias Eisenmann’s work include COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Matthias Eisenmann is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Matthias Eisenmann collaborates with scholars based in Germany, United States and Switzerland. Matthias Eisenmann's co-authors include Annika Reinke, Lena Maier‐Hein, Bennett A. Landman, Annette Kopp‐Schneider, Keno März, Alexander Seitel, Manuel Wiesenfarth, Eric Heim, Bram Stieltjes and Gregor Sommer and has published in prestigious journals such as Scientific Reports, Medical Image Analysis and European Urology Focus.

In The Last Decade

Co-authorship network of co-authors of Matthias Eisenmann i

Fields of papers citing papers by Matthias Eisenmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthias Eisenmann

Since Specialization
Citations

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