Meyke Hermsen

19 papers and 1.4k indexed citations i.

About

Meyke Hermsen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Meyke Hermsen has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Meyke Hermsen’s work include AI in cancer detection (12 papers), Digital Imaging for Blood Diseases (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Meyke Hermsen is often cited by papers focused on AI in cancer detection (12 papers), Digital Imaging for Blood Diseases (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Meyke Hermsen collaborates with scholars based in The Netherlands, United States and Germany. Meyke Hermsen's co-authors include Jeroen van der Laak, Geert Litjens, Peter Bult, Bram van Ginneken, Iringo Kovacs, Clara I. Sá‎nchez, N. K. Timofeeva, Irıs D. Nagtegaal, Babak Ehteshami Bejnordi and Maschenka Balkenhol and has published in prestigious journals such as Scientific Reports, Journal of the American Society of Nephrology and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Meyke Hermsen i

Fields of papers citing papers by Meyke Hermsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meyke Hermsen

Since Specialization
Citations

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