Wouter Van Gansbeke

About

Wouter Van Gansbeke is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Wouter Van Gansbeke has authored 8 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Wouter Van Gansbeke’s work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (3 papers) and Image and Object Detection Techniques (2 papers). Wouter Van Gansbeke is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (3 papers) and Image and Object Detection Techniques (2 papers). Wouter Van Gansbeke collaborates with scholars based in Belgium and Switzerland. Wouter Van Gansbeke's co-authors include Luc Van Gool, Stamatios Georgoulis, Simon Vandenhende, Marc Proesmans, Dengxin Dai, Bert De Brabandere and Davy Neven and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters and International Conference on Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Wouter Van Gansbeke i

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Fields of papers citing papers by Wouter Van Gansbeke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter Van Gansbeke. 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 Wouter Van Gansbeke. The network helps show where Wouter Van Gansbeke may publish in the future.

Countries citing papers authored by Wouter Van Gansbeke

Since Specialization

Citations

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