Mads Nielsen

173 papers and 3.2k indexed citations i.

About

Mads Nielsen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Mads Nielsen has authored 173 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 43 papers in Radiology, Nuclear Medicine and Imaging and 41 papers in Artificial Intelligence. Recurrent topics in Mads Nielsen’s work include AI in cancer detection (30 papers), Medical Image Segmentation Techniques (28 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). Mads Nielsen is often cited by papers focused on AI in cancer detection (30 papers), Medical Image Segmentation Techniques (28 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). Mads Nielsen collaborates with scholars based in Denmark, The Netherlands and United States. Mads Nielsen's co-authors include Christian Igel, Martin Lillholm, François Lauze, Lauge Sørensen, Erik B. Dam, Marleen de Bruijne, Kersten Petersen, Peter Johansen, Ole Fogh Olsen and Nico Karssemeijer and has published in prestigious journals such as Nature Communications, NeuroImage and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Mads Nielsen i

Fields of papers citing papers by Mads Nielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mads Nielsen

Since Specialization
Citations

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