Fides Aarts

4 papers and 50 indexed citations i.

About

Fides Aarts is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Fides Aarts has authored 4 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 4 papers in Software. Recurrent topics in Fides Aarts’s work include Machine Learning and Algorithms (4 papers), Software Testing and Debugging Techniques (4 papers) and Formal Methods in Verification (4 papers). Fides Aarts is often cited by papers focused on Machine Learning and Algorithms (4 papers), Software Testing and Debugging Techniques (4 papers) and Formal Methods in Verification (4 papers). Fides Aarts collaborates with scholars based in The Netherlands and Sweden. Fides Aarts's co-authors include Joeri de Ruiter, Erik Poll, Frits Vaandrager, Bengt Jönsson, Jan Tretmans and Sicco Verwer and has published in prestigious journals such as Machine Learning, Formal Methods in System Design and Radboud Repository (Radboud University).

In The Last Decade

Co-authorship network of co-authors of Fides Aarts i

Fields of papers citing papers by Fides Aarts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fides Aarts

Since Specialization
Citations

This map shows the geographic impact of Fides Aarts'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 Fides Aarts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fides Aarts 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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2025