Jon Sneyers

10 papers and 141 indexed citations i.

About

Jon Sneyers is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jon Sneyers has authored 10 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Jon Sneyers’s work include Logic, Reasoning, and Knowledge (5 papers), Logic, programming, and type systems (3 papers) and Advanced Data Compression Techniques (3 papers). Jon Sneyers is often cited by papers focused on Logic, Reasoning, and Knowledge (5 papers), Logic, programming, and type systems (3 papers) and Advanced Data Compression Techniques (3 papers). Jon Sneyers collaborates with scholars based in Belgium, United States and Germany. Jon Sneyers's co-authors include Pieter Wuille, Tom Schrijvers, Bart Demoen, Wannes Meert, Yoshitaka Kameya, Joost Vennekens, Taisuke Sato, Touradj Ebrahimi, Luca Versari and Maria Chiara Meo and has published in prestigious journals such as ACM Transactions on Programming Languages and Systems, Theory and Practice of Logic Programming and SMPTE Motion Imaging Journal.

In The Last Decade

Co-authorship network of co-authors of Jon Sneyers i

Fields of papers citing papers by Jon Sneyers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jon Sneyers

Since Specialization
Citations

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