Felix Diekmann

63 papers and 1.7k indexed citations i.

About

Felix Diekmann is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Felix Diekmann has authored 63 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pulmonary and Respiratory Medicine, 38 papers in Radiology, Nuclear Medicine and Imaging and 27 papers in Artificial Intelligence. Recurrent topics in Felix Diekmann’s work include Digital Radiography and Breast Imaging (37 papers), AI in cancer detection (27 papers) and Breast Lesions and Carcinomas (15 papers). Felix Diekmann is often cited by papers focused on Digital Radiography and Breast Imaging (37 papers), AI in cancer detection (27 papers) and Breast Lesions and Carcinomas (15 papers). Felix Diekmann collaborates with scholars based in Germany, France and United States. Felix Diekmann's co-authors include Ulrich Bick, Eva Maria Fallenberg, Clarisse Dromain, F. Engelken, Diane M. Renz, Bernd Hamm, Susanne Diekmann, Barbara Ingold‐Heppner, Klaus Winzer and Thomas Fischer and has published in prestigious journals such as Radiology, American Journal of Roentgenology and American Journal of Neuroradiology.

In The Last Decade

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

Fields of papers citing papers by Felix Diekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Felix Diekmann

Since Specialization
Citations

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