Laurent Oudre

68 papers receiving 1.3k citations

Hit Papers

Selective review of offline change point detection methods201920262021202320192021200400600

Peers

Laurent Oudre
Comparison fields: 5 of 162
  • Computer Vision and Pattern Recognition 242
  • Artificial Intelligence 234
  • Signal Processing 212
  • Physical Therapy, Sports Therapy and Rehabilitation 211
  • Biomedical Engineering 195
Replace Nicolas Vayatis with:
Nicolas Vayatis France
Mark P. Wachowiak Canada
Kiseon Kim South Korea
Francesca Odone Italy
Sohan Seth United States
Javier Cabrera United States
Moacir Antonelli Ponti Brazil
Charles Truong France
John E. Ball United States
Laurent Oudre relative to Nicolas Vayatis France Nicolas Vayatis's profile →
Citations per field
00.5×1.5×
Nicolas Vayatis · 1×
Citations per year

Countries citing papers authored by Laurent Oudre

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Oudre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Oudre

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Oudre. A scholar is included among the top collaborators of Laurent Oudre 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 Laurent Oudre. Laurent Oudre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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A review of change point detection methods.
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DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding
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Segmentation and classification of dynamic activities from accelerometer signals
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Segmentation of accelerometer signals recorded during continuous treadmill walking
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About Laurent Oudre

Laurent Oudre is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computational Mathematics and Signal Processing, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (19 papers), Gait Recognition and Analysis (11 papers) and Anomaly Detection Techniques and Applications (11 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (211 citations), Signal Processing (212 citations) and Computer Vision and Pattern Recognition (242 citations). Laurent Oudre has collaborated with scholars based in France, China and Switzerland. Frequent co-authors include Nicolas Vayatis, Charles Truong, Damien Ricard, Pierre‐Paul Vidal, Stéphane Buffat, Yves Grenier, Cédric Févotte, A. Yelnik, Azeddine Beghdadi and Flavien Quijoux. Their work appears in journals such as PLoS ONE, Journal of Neurophysiology and IEEE Transactions on Signal Processing.

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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