Matthias De Lange

5 papers and 206 indexed citations i.

About

Matthias De Lange is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthias De Lange has authored 5 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthias De Lange’s work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Machine Learning and Data Classification (3 papers). Matthias De Lange is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Machine Learning and Data Classification (3 papers). Matthias De Lange collaborates with scholars based in Belgium, Sweden and China. Matthias De Lange's co-authors include Tinne Tuytelaars, Sarah Parisot, Aleš Leonardis, Greg Slabaugh, Marc Masana, Jia Xu, Rahaf Aljundi, Eduardo Pérez-Pellitero, Xu Jia and Kuo Yang and has published in prestigious journals such as Neural Networks, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Matthias De Lange i

Fields of papers citing papers by Matthias De Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias De Lange. 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 Matthias De Lange. The network helps show where Matthias De Lange may publish in the future.

Countries citing papers authored by Matthias De Lange

Since Specialization
Citations

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