Raphaël Couronné

6 papers and 529 indexed citations i.

About

Raphaël Couronné is a scholar working on Artificial Intelligence, Neurology and Physiology. According to data from OpenAlex, Raphaël Couronné has authored 6 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Neurology and 2 papers in Physiology. Recurrent topics in Raphaël Couronné’s work include Parkinson's Disease Mechanisms and Treatments (3 papers), Machine Learning in Healthcare (2 papers) and Dementia and Cognitive Impairment Research (2 papers). Raphaël Couronné is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Machine Learning in Healthcare (2 papers) and Dementia and Cognitive Impairment Research (2 papers). Raphaël Couronné collaborates with scholars based in France, United Kingdom and Italy. Raphaël Couronné's co-authors include Anne‐Laure Boulesteix, Philipp Probst, Stanley Durrleman, Stéphane Epelbaum, Alexandre Bône, Didier Dormont, Olivier Colliot, Ninon Burgos, Junhao Wen and Simona Bottani and has published in prestigious journals such as Annals of Neurology, BMC Bioinformatics and Movement Disorders.

In The Last Decade

Co-authorship network of co-authors of Raphaël Couronné i

Fields of papers citing papers by Raphaël Couronné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Raphaël Couronné

Since Specialization
Citations

This map shows the geographic impact of Raphaël Couronné'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 Raphaël Couronné with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Couronné 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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2025