Annegreet van Opbroek

About

Annegreet van Opbroek is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, Annegreet van Opbroek has authored 9 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Neurology. Recurrent topics in Annegreet van Opbroek’s work include Domain Adaptation and Few-Shot Learning (5 papers), Medical Image Segmentation Techniques (5 papers) and Brain Tumor Detection and Classification (3 papers). Annegreet van Opbroek is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Medical Image Segmentation Techniques (5 papers) and Brain Tumor Detection and Classification (3 papers). Annegreet van Opbroek collaborates with scholars based in The Netherlands, Denmark and France. Annegreet van Opbroek's co-authors include Marleen de Bruijne, Meike W. Vernooij, M. Arfan Ikram, Wiro J. Niessen, Fedde van der Lijn, Arna van Engelen, Anouk C. van Dijk, M. Eline Kooi, Martine T.B. Truijman and Aad van der Lugt and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Optical Engineering.

In The Last Decade

Co-authorship network of co-authors of Annegreet van Opbroek i

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Fields of papers citing papers by Annegreet van Opbroek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Annegreet van Opbroek

Since Specialization

Citations

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