Benjamin Quost

17 papers and 400 indexed citations i.

About

Benjamin Quost is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Benjamin Quost has authored 17 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Signal Processing and 4 papers in Management Science and Operations Research. Recurrent topics in Benjamin Quost’s work include Bayesian Modeling and Causal Inference (4 papers), Multi-Criteria Decision Making (4 papers) and Machine Learning and Algorithms (3 papers). Benjamin Quost is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Multi-Criteria Decision Making (4 papers) and Machine Learning and Algorithms (3 papers). Benjamin Quost collaborates with scholars based in France, Luxembourg and China. Benjamin Quost's co-authors include Thierry Denœux, Marie-Hélène Masson, David Mercier, Xun Wang, Jean-Daniel Chazot, Sébastien Destercke, Shoumei Li, Jérôme Antoni, Jérôme Antoni and Hongdong Li and has published in prestigious journals such as Expert Systems with Applications, Journal of Sound and Vibration and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Benjamin Quost i

Fields of papers citing papers by Benjamin Quost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benjamin Quost

Since Specialization
Citations

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