Fabian Isensee

30 papers and 3.6k indexed citations i.

About

Fabian Isensee is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Fabian Isensee has authored 30 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Fabian Isensee’s work include Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (6 papers) and AI in cancer detection (4 papers). Fabian Isensee is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Glioma Diagnosis and Treatment (6 papers) and AI in cancer detection (4 papers). Fabian Isensee collaborates with scholars based in Germany, United States and Switzerland. Fabian Isensee's co-authors include Klaus Maier‐Hein, Jens Petersen, Simon Köhl, Paul F. Jaeger, Philipp Kickingereder, Martin Bendszus, Wolfgang Wick, Heinz‐Peter Schlemmer, Gianluca Brugnara and Sabine Heiland and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Fabian Isensee i

Fields of papers citing papers by Fabian Isensee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabian Isensee

Since Specialization
Citations

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