Wannes Meert

53 papers and 1.3k indexed citations i.

About

Wannes Meert is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wannes Meert has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wannes Meert’s work include Bayesian Modeling and Causal Inference (16 papers), Anomaly Detection Techniques and Applications (10 papers) and Machine Learning and Algorithms (6 papers). Wannes Meert is often cited by papers focused on Bayesian Modeling and Causal Inference (16 papers), Anomaly Detection Techniques and Applications (10 papers) and Machine Learning and Algorithms (6 papers). Wannes Meert collaborates with scholars based in Belgium, United States and France. Wannes Meert's co-authors include Sofie Pollin, Vincent Lenders, Sreeraj Rajendran, Domenico Giustiniano, Brecht Reynders, Jesse Davis, Marian Verhelst, Guy Van den Broeck, Steven Lauwereins and Luc De Raedt and has published in prestigious journals such as PLoS ONE, IEEE Access and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Wannes Meert i

Fields of papers citing papers by Wannes Meert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Wannes Meert

Since Specialization
Citations

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).

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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