Benjamin Guedj

About

Benjamin Guedj is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Benjamin Guedj has authored 21 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 4 papers in Management Science and Operations Research. Recurrent topics in Benjamin Guedj’s work include Machine Learning and Algorithms (8 papers), Statistical Methods and Inference (4 papers) and Machine Learning and Data Classification (4 papers). Benjamin Guedj is often cited by papers focused on Machine Learning and Algorithms (8 papers), Statistical Methods and Inference (4 papers) and Machine Learning and Data Classification (4 papers). Benjamin Guedj collaborates with scholars based in France, United Kingdom and United States. Benjamin Guedj's co-authors include Pierre Alquier, G. Guillot, Gérard Biau, James D. Malley, Shi Zhou, John Shawe‐Taylor, Pierre Alliez, Le Li, Mohand-Saïd Hacid and Nicolás Chopin and has published in prestigious journals such as Bioresource Technology, Neurocomputing and Machine Learning.

In The Last Decade

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

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Fields of papers citing papers by Benjamin Guedj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benjamin Guedj

Since Specialization

Citations

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