Vincent François-Lavet

About

Vincent François-Lavet is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Vincent François-Lavet has authored 18 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 4 papers in Management Science and Operations Research. Recurrent topics in Vincent François-Lavet’s work include Reinforcement Learning in Robotics (8 papers), Advanced Bandit Algorithms Research (4 papers) and Smart Grid Energy Management (4 papers). Vincent François-Lavet is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Advanced Bandit Algorithms Research (4 papers) and Smart Grid Energy Management (4 papers). Vincent François-Lavet collaborates with scholars based in The Netherlands, Belgium and Canada. Vincent François-Lavet's co-authors include Joëlle Pineau, Riashat Islam, Peter Henderson, Marc G. Bellemare, Yoshua Bengio, Doina Precup, Ludovic Noels, Ramjee Prasad, François Henrotte and Laurent Stainier and has published in prestigious journals such as Critical Care Medicine, IEEE Transactions on Neural Networks and Learning Systems and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Vincent François-Lavet i

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Fields of papers citing papers by Vincent François-Lavet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent François-Lavet. 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 Vincent François-Lavet. The network helps show where Vincent François-Lavet may publish in the future.

Countries citing papers authored by Vincent François-Lavet

Since Specialization

Citations

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