Stéphane Lehéricy

4 papers and 175 indexed citations i.

About

Stéphane Lehéricy is a scholar working on Computer Vision and Pattern Recognition, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Stéphane Lehéricy has authored 4 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Materials Chemistry and 1 paper in Biomedical Engineering. Recurrent topics in Stéphane Lehéricy’s work include Medical Image Segmentation Techniques (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper) and Advanced Neural Network Applications (1 paper). Stéphane Lehéricy is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper) and Advanced Neural Network Applications (1 paper). Stéphane Lehéricy collaborates with scholars based in France, Canada and Denmark. Stéphane Lehéricy's co-authors include James B. Rowe, Hartwig R. Siebner, David Meder, Damian M. Herz, Ines Njeh, Ismail Ben Ayed, Damien Galanaud, Mickaël Tanter, Pierre Pouget and Harry Ahnine and has published in prestigious journals such as NeuroImage, Journal of Controlled Release and Computerized Medical Imaging and Graphics.

In The Last Decade

Co-authorship network of co-authors of Stéphane Lehéricy i

Fields of papers citing papers by Stéphane Lehéricy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stéphane Lehéricy

Since Specialization
Citations

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