G. de Haan

48 papers and 1.3k indexed citations i.

About

G. de Haan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, G. de Haan has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 28 papers in Signal Processing and 5 papers in Media Technology. Recurrent topics in G. de Haan’s work include Video Coding and Compression Technologies (25 papers), Advanced Vision and Imaging (23 papers) and Advanced Image Processing Techniques (15 papers). G. de Haan is often cited by papers focused on Video Coding and Compression Technologies (25 papers), Advanced Vision and Imaging (23 papers) and Advanced Image Processing Techniques (15 papers). G. de Haan collaborates with scholars based in The Netherlands, Finland and United Kingdom. G. de Haan's co-authors include Erwin B. Bellers, O.A. Ojo, Hui Zhang, Ling Shao, Hao Hu, Carolien H. M. van Deurzen, Sander Stuijk, Meng Zhao, Irina Georgieva and Andreia Moço and has published in prestigious journals such as Proceedings of the IEEE, European Heart Journal and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of G. de Haan i

Fields of papers citing papers by G. de Haan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. de Haan. 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 G. de Haan. The network helps show where G. de Haan may publish in the future.

Countries citing papers authored by G. de Haan

Since Specialization
Citations

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