F. Engelken

25 papers and 1.0k indexed citations i.

About

F. Engelken is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, F. Engelken has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in F. Engelken’s work include Digital Radiography and Breast Imaging (13 papers), AI in cancer detection (8 papers) and Medical Imaging Techniques and Applications (6 papers). F. Engelken is often cited by papers focused on Digital Radiography and Breast Imaging (13 papers), AI in cancer detection (8 papers) and Medical Imaging Techniques and Applications (6 papers). F. Engelken collaborates with scholars based in Germany, France and United States. F. Engelken's co-authors include Eva Maria Fallenberg, Ulrich Bick, Felix Diekmann, Diane M. Renz, Bernd Hamm, Clarisse Dromain, Barbara Ingold‐Heppner, Klaus Winzer, Michaela Krohn and Gerd Diederichs and has published in prestigious journals such as Radiology, Osteoporosis International and Breast Cancer Research and Treatment.

In The Last Decade

Co-authorship network of co-authors of F. Engelken i

Fields of papers citing papers by F. Engelken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by F. Engelken

Since Specialization
Citations

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