This map shows the geographic impact of Anton Dries'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 Anton Dries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Dries more than expected).
This network shows the impact of papers produced by Anton Dries. 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 Anton Dries. The network helps show where Anton Dries may publish in the future.
Co-authorship network of co-authors of Anton Dries
This figure shows the co-authorship network connecting the top 25 collaborators of Anton Dries.
A scholar is included among the top collaborators of Anton Dries based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Anton Dries. Anton Dries is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Bessière, Christian, Anton Dries, Emmanuel Hébrard, et al.. (2023). Learning constraints through partial queries. Artificial Intelligence. 319. 103896–103896.3 indexed citations
Kimmig, Angelika, et al.. (2016). Knowledge compilation and weighted model counting for inference in probabilistic logic programs. Lirias (KU Leuven). 359–364.1 indexed citations
10.
Raedt, Luc De, et al.. (2015). Inducing probabilistic relational rules from probabilistic examples. Lirias (KU Leuven). 1835–1843.28 indexed citations
Guns, Tias, Anton Dries, Guido Tack, Siegfried Nijssen, & Luc De Raedt. (2013). MiningZinc: a modeling language for constraint-based mining. International Joint Conference on Artificial Intelligence. 63(12). 1365–1372.9 indexed citations
Vreeken, Jilles, Nikolaj Tatti, Bart Goethals, et al.. (2012). Proceedings of the ECML PKDD workshop on instant interactive data mining. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).1 indexed citations
Dries, Anton, Luc De Raedt, & Siegfried Nijssen. (2009). Mining Predictive k-CNF Expressions. IEEE Transactions on Knowledge and Data Engineering. 22(5). 743–748.6 indexed citations
19.
Dries, Anton & Ulrich Rückert. (2009). Adaptive concept drift detection. Statistical Analysis and Data Mining The ASA Data Science Journal. 2(5-6). 311–327.93 indexed citations
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.