Veerle Fack

66 papers and 980 indexed citations i.

About

Veerle Fack is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Veerle Fack has authored 66 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Atomic and Molecular Physics, and Optics and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Veerle Fack’s work include graph theory and CDMA systems (12 papers), Atomic and Molecular Physics (11 papers) and Coding theory and cryptography (10 papers). Veerle Fack is often cited by papers focused on graph theory and CDMA systems (12 papers), Atomic and Molecular Physics (11 papers) and Coding theory and cryptography (10 papers). Veerle Fack collaborates with scholars based in Belgium, Bulgaria and Germany. Veerle Fack's co-authors include G. Vanden Berghe, Philippe De Maeyer, Kristien Ooms, Guy Davenport, H. De Meyer, H. E. De Meyer, J. Van der Jeugt, Eva Van Assche, Frank Witlox and Peter Dawyndt and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genetics.

In The Last Decade

Co-authorship network of co-authors of Veerle Fack i

Fields of papers citing papers by Veerle Fack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Veerle Fack

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025