Boris Muzellec

About

Boris Muzellec is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Boris Muzellec has authored 7 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Boris Muzellec’s work include Markov Chains and Monte Carlo Methods (3 papers), Topological and Geometric Data Analysis (2 papers) and Human Pose and Action Recognition (2 papers). Boris Muzellec is often cited by papers focused on Markov Chains and Monte Carlo Methods (3 papers), Topological and Geometric Data Analysis (2 papers) and Human Pose and Action Recognition (2 papers). Boris Muzellec collaborates with scholars based in France, Japan and Australia. Boris Muzellec's co-authors include Mathieu Andreux, Maria Teleńczuk, Frank Nielsen, Giorgio Patrini, Richard Nock, Marco Cuturi, Francis Bach, Alessandro Rudi and François‐Xavier Vialard and has published in prestigious journals such as Bioinformatics, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Boris Muzellec i

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Fields of papers citing papers by Boris Muzellec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Boris Muzellec

Since Specialization

Citations

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