Sarah Vluymans

13 papers and 382 indexed citations i.

About

Sarah Vluymans is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Sarah Vluymans has authored 13 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Sarah Vluymans’s work include Rough Sets and Fuzzy Logic (9 papers), Imbalanced Data Classification Techniques (8 papers) and Machine Learning and Data Classification (4 papers). Sarah Vluymans is often cited by papers focused on Rough Sets and Fuzzy Logic (9 papers), Imbalanced Data Classification Techniques (8 papers) and Machine Learning and Data Classification (4 papers). Sarah Vluymans collaborates with scholars based in Belgium, Spain and Cuba. Sarah Vluymans's co-authors include Chris Cornelis, Yvan Saeys, Francisco Herrera, Rafael Bello, Nele Verbiest, Yailé Caballero Mota, Enislay Ramentol, Lynn D’eer, Neil Mac Parthaláin and Isaac Triguero and has published in prestigious journals such as Information Sciences, Pattern Recognition and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of Sarah Vluymans i

Fields of papers citing papers by Sarah Vluymans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarah Vluymans

Since Specialization
Citations

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