Sam Maes

8 papers and 12 indexed citations i.

About

Sam Maes is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Sam Maes has authored 8 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 1 paper in Control and Systems Engineering. Recurrent topics in Sam Maes’s work include Bayesian Modeling and Causal Inference (5 papers), Data Quality and Management (3 papers) and Logic, Reasoning, and Knowledge (2 papers). Sam Maes is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Data Quality and Management (3 papers) and Logic, Reasoning, and Knowledge (2 papers). Sam Maes collaborates with scholars based in Belgium, France and The Netherlands. Sam Maes's co-authors include Stijn Meganck, Bernard Manderick, Philippe Leray, Karl Tuyls, Katja Verbeeck, Tom Lenaerts, Ann Nowé and Piet van Remortel and has published in prestigious journals such as International Journal of Approximate Reasoning, Genetic and Evolutionary Computation Conference and IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

In The Last Decade

Co-authorship network of co-authors of Sam Maes i

Fields of papers citing papers by Sam Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sam Maes

Since Specialization
Citations

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