Philippe Smets

52 papers and 3.7k indexed citations i.

About

Philippe Smets is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Philippe Smets has authored 52 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 27 papers in Management Science and Operations Research and 7 papers in Statistics and Probability. Recurrent topics in Philippe Smets’s work include Bayesian Modeling and Causal Inference (33 papers), Multi-Criteria Decision Making (27 papers) and Logic, Reasoning, and Knowledge (19 papers). Philippe Smets is often cited by papers focused on Bayesian Modeling and Causal Inference (33 papers), Multi-Criteria Decision Making (27 papers) and Logic, Reasoning, and Knowledge (19 papers). Philippe Smets collaborates with scholars based in Belgium, France and Australia. Philippe Smets's co-authors include Robert Kennes, Paul Magrez, Branko Ristić, Amihai Motro, Thierry Denœux, Khaled Mellouli, Didier Dubois, Kathleen L. Henebry, Henri Prade and Paul Van Houtte and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Information Sciences and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Philippe Smets i

Fields of papers citing papers by Philippe Smets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philippe Smets

Since Specialization
Citations

This map shows the geographic impact of Philippe Smets'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 Philippe Smets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Smets 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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2025