Nico Vervliet

22 papers and 339 indexed citations i.

About

Nico Vervliet is a scholar working on Computational Mathematics, Computational Mechanics and Signal Processing. According to data from OpenAlex, Nico Vervliet has authored 22 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Mathematics, 7 papers in Computational Mechanics and 7 papers in Signal Processing. Recurrent topics in Nico Vervliet’s work include Tensor decomposition and applications (19 papers), Sparse and Compressive Sensing Techniques (6 papers) and Blind Source Separation Techniques (6 papers). Nico Vervliet is often cited by papers focused on Tensor decomposition and applications (19 papers), Sparse and Compressive Sensing Techniques (6 papers) and Blind Source Separation Techniques (6 papers). Nico Vervliet collaborates with scholars based in Belgium, United States and China. Nico Vervliet's co-authors include Lieven De Lathauwer, Otto Debals, Laurent Sorber, Sabine Van Huffel, Nele Moelans, Ignat Domanov, Nicolas Gillis, Xiao Fu, Kejun Huang and Simon Tousseyn and has published in prestigious journals such as NeuroImage, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

In The Last Decade

Co-authorship network of co-authors of Nico Vervliet i

Fields of papers citing papers by Nico Vervliet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nico Vervliet. 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 Nico Vervliet. The network helps show where Nico Vervliet may publish in the future.

Countries citing papers authored by Nico Vervliet

Since Specialization
Citations

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