Gijs van Tulder

10 papers and 202 indexed citations i.

About

Gijs van Tulder is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Gijs van Tulder has authored 10 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Gijs van Tulder’s work include Medical Image Segmentation Techniques (4 papers), Advanced Neural Network Applications (3 papers) and Lysosomal Storage Disorders Research (2 papers). Gijs van Tulder is often cited by papers focused on Medical Image Segmentation Techniques (4 papers), Advanced Neural Network Applications (3 papers) and Lysosomal Storage Disorders Research (2 papers). Gijs van Tulder collaborates with scholars based in The Netherlands, Denmark and United States. Gijs van Tulder's co-authors include Marleen de Bruijne, Florian Dubost, Meike W. Vernooij, Gerda Bortsova, Hieab H.H. Adams, Pınar Yilmaz, Wiro J. Niessen, M. Arfan Ikram, Piotr A. Wielopolski and Nadine A. M. E. van der Beek and has published in prestigious journals such as IEEE Transactions on Medical Imaging, European Radiology and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Gijs van Tulder i

Fields of papers citing papers by Gijs van Tulder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gijs van Tulder

Since Specialization
Citations

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