Bram Platel

59 papers and 2.0k indexed citations i.

About

Bram Platel is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bram Platel has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Artificial Intelligence and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bram Platel’s work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Medical Image Segmentation Techniques (12 papers). Bram Platel is often cited by papers focused on AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Medical Image Segmentation Techniques (12 papers). Bram Platel collaborates with scholars based in The Netherlands, Germany and United States. Bram Platel's co-authors include Nico Karssemeijer, Ritse M. Mann, Mohsen Ghafoorian, Roel Mus, Albert Gubern‐Mérida, Frank‐Erik de Leeuw, Bart M. ter Haar Romeny, Jan van Zelst, Nico Karssemeijer and Tao Tan and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

In The Last Decade

Co-authorship network of co-authors of Bram Platel i

Fields of papers citing papers by Bram Platel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bram Platel

Since Specialization
Citations

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