Jan van Zelst

21 papers and 663 indexed citations i.

About

Jan van Zelst is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jan van Zelst has authored 21 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Pathology and Forensic Medicine and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jan van Zelst’s work include AI in cancer detection (16 papers), Breast Lesions and Carcinomas (14 papers) and Digital Radiography and Breast Imaging (8 papers). Jan van Zelst is often cited by papers focused on AI in cancer detection (16 papers), Breast Lesions and Carcinomas (14 papers) and Digital Radiography and Breast Imaging (8 papers). Jan van Zelst collaborates with scholars based in The Netherlands, United States and Germany. Jan van Zelst's co-authors include Ritse M. Mann, Nico Karssemeijer, Bram Platel, Roel Mus, Christian Geppert, Suzan Vreemann, Tao Tan, Albert Gubern‐Mérida, Peter Bult and Matthieu Rutten and has published in prestigious journals such as Radiology, Medical Physics and Radiographics.

In The Last Decade

Co-authorship network of co-authors of Jan van Zelst i

Fields of papers citing papers by Jan van Zelst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan van Zelst. 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 Jan van Zelst. The network helps show where Jan van Zelst may publish in the future.

Countries citing papers authored by Jan van Zelst

Since Specialization
Citations

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