Bram Geurts

About

Bram Geurts is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Bram Geurts has authored 11 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in Bram Geurts’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 diagnosis using AI (3 papers). Bram Geurts is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 diagnosis using AI (3 papers). Bram Geurts collaborates with scholars based in The Netherlands, United States and Germany. Bram Geurts's co-authors include Cornelia Schaefer‐Prokop, Bram van Ginneken, Mathias Prokop, Monique Brink, J. Lauran Stöger, Ludo F.M. Beenen, Wouter M. van Everdingen, Hester A. Gietema, Jasenko Krdzalic and Henriëtte M. E. Quarles van Ufford and has published in prestigious journals such as Radiology, CHEST Journal and Annals of the Rheumatic Diseases.

In The Last Decade

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

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Fields of papers citing papers by Bram Geurts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bram Geurts

Since Specialization

Citations

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