Pierre‐Luc Bacon

About

Pierre‐Luc Bacon is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Pierre‐Luc Bacon has authored 11 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 2 papers in Computational Theory and Mathematics. Recurrent topics in Pierre‐Luc Bacon’s work include Reinforcement Learning in Robotics (8 papers), Advanced Bandit Algorithms Research (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Pierre‐Luc Bacon is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Advanced Bandit Algorithms Research (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Pierre‐Luc Bacon collaborates with scholars based in Canada, United States and Israel. Pierre‐Luc Bacon's co-authors include Doina Precup, Jean Harb, Joëlle Pineau, Peter Henderson, David Meger, Daniel J. Mankowitz, Rishabh Agarwal, Hanane Dagdougui, Pascal Vincent and Shie Mannor and has published in prestigious journals such as Applied Energy, AI Magazine and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Pierre‐Luc Bacon i

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Fields of papers citing papers by Pierre‐Luc Bacon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre‐Luc Bacon. 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 Pierre‐Luc Bacon. The network helps show where Pierre‐Luc Bacon may publish in the future.

Countries citing papers authored by Pierre‐Luc Bacon

Since Specialization

Citations

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