This map shows the geographic impact of Wannes Meert'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 Wannes Meert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wannes Meert more than expected).
This network shows the impact of papers produced by Wannes Meert. 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 Wannes Meert. The network helps show where Wannes Meert may publish in the future.
Co-authorship network of co-authors of Wannes Meert
This figure shows the co-authorship network connecting the top 25 collaborators of Wannes Meert.
A scholar is included among the top collaborators of Wannes Meert 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 Wannes Meert. Wannes Meert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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
Broeck, Guy Van den, et al.. (2015). Anytime inference in probabilistic logic programs with TP-compilation. Lirias (KU Leuven). 1852–1858.14 indexed citations
Haaren, Jan Van, Guy Van den Broeck, Wannes Meert, & Jesse Davis. (2014). Tractable learning of liftable Markov logic networks. Lirias (KU Leuven). 1–9.3 indexed citations
13.
Meert, Wannes, et al.. (2014). Efficient probabilistic inference for dynamic relational models. Lirias (KU Leuven). 131–132.1 indexed citations
14.
Lauwereins, Steven, et al.. (2014). Context- and cost-aware feature selection in ultra-low-power sensor interfaces. Lirias (KU Leuven). 93–98.7 indexed citations
15.
Broeck, Guy Van den, Wannes Meert, & Jesse Davis. (2013). Lifted generative parameter learning. Lirias (KU Leuven). 87–94.5 indexed citations
16.
Meert, Wannes, Guy Van den Broeck, Nima Taghipour, et al.. (2012). Lifted inference for probabilistic programming. Lirias (KU Leuven).2 indexed citations
Meert, Wannes, Jan Struyf, & Hendrik Blockeel. (2010). Contextual variable elimination with overlapping contexts. Lirias (KU Leuven). 193–201.
19.
Meert, Wannes, Jan Struyf, & Hendrik Blockeel. (2008). Learning Ground CP-logic Theories by means of Bayesian Network Techniques. Lirias (KU Leuven).5 indexed citations
20.
Meert, Wannes, Jan Struyf, & Hendrik Blockeel. (2008). Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques. Fundamenta Informaticae. 89(1). 131–160.21 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.