Warner ten Kate

6 papers and 180 indexed citations i.

About

Warner ten Kate is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Warner ten Kate has authored 6 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Warner ten Kate’s work include Non-Invasive Vital Sign Monitoring (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Video Analysis and Summarization (1 paper). Warner ten Kate is often cited by papers focused on Non-Invasive Vital Sign Monitoring (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Video Analysis and Summarization (1 paper). Warner ten Kate collaborates with scholars based in The Netherlands, Finland and United States. Warner ten Kate's co-authors include G.A.M. Krekels, Gerard de Haan, Natallia E. Uzunbajakava, Zharko Aleksovski, Frank van Harmelen, Jeroen Breebaart, Sabri Boughorbel, Fons Bruekers, Aki Härmä and Patrick Schmitz and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Journal of the Audio Engineering Society and New Review of Hypermedia and Multimedia.

In The Last Decade

Co-authorship network of co-authors of Warner ten Kate i

Fields of papers citing papers by Warner ten Kate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Warner ten Kate. 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 Warner ten Kate. The network helps show where Warner ten Kate may publish in the future.

Countries citing papers authored by Warner ten Kate

Since Specialization
Citations

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