Suzan Vreemann

20 papers and 553 indexed citations i.

About

Suzan Vreemann is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, Suzan Vreemann has authored 20 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pathology and Forensic Medicine and 6 papers in Artificial Intelligence. Recurrent topics in Suzan Vreemann’s work include MRI in cancer diagnosis (12 papers), Breast Lesions and Carcinomas (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Suzan Vreemann is often cited by papers focused on MRI in cancer diagnosis (12 papers), Breast Lesions and Carcinomas (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Suzan Vreemann collaborates with scholars based in The Netherlands, United States and Germany. Suzan Vreemann's co-authors include Ritse M. Mann, Albert Gubern‐Mérida, Peter Bult, Nico Karssemeijer, Mehmet Ufuk Dalmış, Nico Karssemeijer, Jan van Zelst, Jonas Teuwen, Nicoline Hoogerbrugge and Margrethe Schlooz-Vries and has published in prestigious journals such as PLoS ONE, Radiology and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Suzan Vreemann i

Fields of papers citing papers by Suzan Vreemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suzan Vreemann

Since Specialization
Citations

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