Stef van den Elzen

13 papers and 422 indexed citations i.

About

Stef van den Elzen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Stef van den Elzen has authored 13 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Stef van den Elzen’s work include Data Visualization and Analytics (12 papers), Time Series Analysis and Forecasting (4 papers) and Advanced Text Analysis Techniques (4 papers). Stef van den Elzen is often cited by papers focused on Data Visualization and Analytics (12 papers), Time Series Analysis and Forecasting (4 papers) and Advanced Text Analysis Techniques (4 papers). Stef van den Elzen collaborates with scholars based in The Netherlands, Finland and Germany. Stef van den Elzen's co-authors include Jarke J. van Wijk, Jorik Blaas, Danny Holten, Anna Vilanova, Nicola Pezzotti, Merel M. van Gilst, Rafael M. Martins, Gennady Andrienko, Carola van Pul and Natalia Andrienko and has published in prestigious journals such as SLEEP, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of Stef van den Elzen i

Fields of papers citing papers by Stef van den Elzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stef van den Elzen. 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 Stef van den Elzen. The network helps show where Stef van den Elzen may publish in the future.

Countries citing papers authored by Stef van den Elzen

Since Specialization
Citations

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