Raphaël Couronné

1.1k total citations · 1 hit paper
8 papers, 652 citations indexed

About

Raphaël Couronné is a scholar working on Neurology, Artificial Intelligence and Physiology. According to data from OpenAlex, Raphaël Couronné has authored 8 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 3 papers in Artificial Intelligence 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, Germany and United Kingdom. Raphaël Couronné's co-authors include Anne‐Laure Boulesteix, Philipp Probst, Stanley Durrleman, Jean‐Christophe Corvol, Stéphane Epelbaum, Simona Bottani, Elina Thibeau–Sutre, Marie Vidailhet, Ninon Burgos and Junhao Wen and has published in prestigious journals such as Annals of Neurology, BMC Bioinformatics and Movement Disorders.

In The Last Decade

Raphaël Couronné

8 papers receiving 634 citations

Hit Papers

Random forest versus logistic regression: a large-scale b... 2018 2026 2020 2023 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Random forest versus logistic regression: a large-scale benchmark experiment
    2018 528 citations Raphaël Couronné, Philipp Probst et al. BMC Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raphaël Couronné France 6 126 61 59 59 52 8 652
Antonio Martínez-Millana Spain 16 127 1.0× 18 0.3× 51 0.9× 49 0.8× 73 1.4× 53 815
Sofía S. Villar United Kingdom 15 86 0.7× 27 0.4× 132 2.2× 73 1.2× 54 1.0× 57 1.0k
Jerome Fan Canada 8 59 0.5× 50 0.8× 48 0.8× 111 1.9× 37 0.7× 12 817
Philipp Probst Germany 10 177 1.4× 26 0.4× 35 0.6× 58 1.0× 28 0.5× 17 878
Tammy Jiang United States 12 102 0.8× 53 0.9× 26 0.4× 28 0.5× 36 0.7× 36 909
Joon-Sung Park South Korea 16 96 0.8× 22 0.4× 76 1.3× 70 1.2× 63 1.2× 128 954
Damjan Krstajić United States 5 110 0.9× 26 0.4× 40 0.7× 22 0.4× 60 1.2× 8 786
Junyong In South Korea 11 36 0.3× 46 0.8× 63 1.1× 117 2.0× 39 0.8× 43 996
Catrin Plumpton United Kingdom 17 95 0.8× 100 1.6× 62 1.1× 25 0.4× 14 0.3× 30 950
Hema Sekhar Reddy Rajula Italy 5 65 0.5× 24 0.4× 31 0.5× 27 0.5× 29 0.6× 7 428

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).

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.

Co-authorship network of co-authors of Raphaël Couronné

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Couronné. A scholar is included among the top collaborators of Raphaël Couronné based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raphaël Couronné. Raphaël Couronné is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Verstuyft, Céline, et al.. (2024). Feasibility of dried blood spot collection for caffeine pharmacokinetic studies in microgravity: Insights from parabolic flight campaigns. British Journal of Clinical Pharmacology. 92(1). 35–47. 3 indexed citations
2.
Couvy‐Duchesne, Baptiste, Raphaël Couronné, Yeda Wu, et al.. (2023). A Comparison Between Early Presentation of Dementia with Lewy Bodies, Alzheimer's Disease, and Parkinson's Disease: Evidence from Routine Primary Care and UK Biobank Data. Annals of Neurology. 94(2). 259–270. 14 indexed citations
3.
Couronné, Raphaël, Isabelle Arnulf, Graziella Mangone, et al.. (2023). Charting Disease Trajectories from Isolated REM Sleep Behavior Disorder to Parkinson's Disease. Movement Disorders. 39(1). 64–75. 10 indexed citations
4.
Ansart, Manon, Stéphane Epelbaum, Alexandre Bône, et al.. (2020). Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Analysis. 67. 101848–101848. 58 indexed citations
5.
Couronné, Raphaël, Marie Vidailhet, Jean‐Christophe Corvol, Stéphane Lehéricy, & Stanley Durrleman. (2019). Learning Disease Progression Models With Longitudinal Data and Missing Values. 1033–1037. 8 indexed citations
6.
Couronné, Raphaël, Philipp Probst, & Anne‐Laure Boulesteix. (2018). Random forest versus logistic regression: a large-scale benchmark experiment. BMC Bioinformatics. 19(1). 270–270. 528 indexed citations breakdown →
7.
Couronné, Raphaël, et al.. (2017). Docker image: Random forest versus logistic regression: a large-scale benchmark experiment. Figshare. 1 indexed citations
8.
Couronné, Raphaël, et al.. (2009). Blood pressure tracking capabilities of pulse transit times in different arterial segments: A clinical evaluation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 201–204. 30 indexed citations

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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