Bram Platel

92 total papers · 3.6k total citations
66 papers, 2.0k citations indexed

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 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Artificial Intelligence and 19 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 Netherlands, Germany and United States. Bram Platel's co-authors include Nico Karssemeijer, Ritse M. Mann, Roel Mus, Mohsen Ghafoorian, Albert Gubern‐Mérida, Bart M. ter Haar Romeny, Jan van Zelst, Tao Tan, Frank‐Erik de Leeuw and Robert Martí and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

Co-authorship network of co-authors of Bram Platel

This figure shows the co-authorship network connecting the top 25 collaborators of Bram Platel. A scholar is included among the top collaborators of Bram Platel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bram Platel. Bram Platel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Bram Platel

65 papers receiving 1.9k citations

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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2026