Thomas de Bel

14 papers and 823 indexed citations i.

About

Thomas de Bel is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas de Bel has authored 14 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas de Bel’s work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Colorectal Cancer Screening and Detection (3 papers). Thomas de Bel is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Colorectal Cancer Screening and Detection (3 papers). Thomas de Bel collaborates with scholars based in The Netherlands, Sweden and United States. Thomas de Bel's co-authors include Jeroen van der Laak, Geert Litjens, Bram van Ginneken, Hester van Boven, Hans Pinckaers, Robert Vink, Wouter Bulten, Christina Hulsbergen‐van de Kaa, Bart Smeets and Mark D. Stegall and has published in prestigious journals such as Cancer Research, Scientific Reports and The Lancet Oncology.

In The Last Decade

Co-authorship network of co-authors of Thomas de Bel i

Fields of papers citing papers by Thomas de Bel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas de Bel. 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 Thomas de Bel. The network helps show where Thomas de Bel may publish in the future.

Countries citing papers authored by Thomas de Bel

Since Specialization
Citations

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