Felix Nensa

148 papers and 2.7k indexed citations i.

About

Felix Nensa is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Felix Nensa has authored 148 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Radiology, Nuclear Medicine and Imaging, 32 papers in Pulmonary and Respiratory Medicine and 21 papers in Biomedical Engineering. Recurrent topics in Felix Nensa’s work include Radiomics and Machine Learning in Medical Imaging (52 papers), Medical Imaging Techniques and Applications (37 papers) and MRI in cancer diagnosis (22 papers). Felix Nensa is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (52 papers), Medical Imaging Techniques and Applications (37 papers) and MRI in cancer diagnosis (22 papers). Felix Nensa collaborates with scholars based in Germany, United States and Switzerland. Felix Nensa's co-authors include Philipp Heusch, Thomas Schlosser, Karsten Beiderwellen, Michael Forsting, Lale Umutlu, Thorsten D. Poeppel, Kai Naßenstein, Thomas C. Lauenstein, Axel Wetter and Aydın Demircioğlu and has published in prestigious journals such as Blood, Gastroenterology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Felix Nensa i

Fields of papers citing papers by Felix Nensa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Felix Nensa

Since Specialization
Citations

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