Jérémie Bigot

43 papers and 732 indexed citations i.

About

Jérémie Bigot is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Statistics and Probability. According to data from OpenAlex, Jérémie Bigot has authored 43 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Applied Mathematics and 9 papers in Statistics and Probability. Recurrent topics in Jérémie Bigot’s work include Medical Image Segmentation Techniques (9 papers), Morphological variations and asymmetry (9 papers) and Image and Signal Denoising Methods (9 papers). Jérémie Bigot is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Morphological variations and asymmetry (9 papers) and Image and Signal Denoising Methods (9 papers). Jérémie Bigot collaborates with scholars based in France, Chile and The Netherlands. Jérémie Bigot's co-authors include Anestis Antoniadis, Theofanis Sapatinas, Pierre Weiss, Claire Boyer, Thierry Klein, Sébastien Gadat, Raúl Gouet, Alfredo Quijano-López, Nicolas Papadakis and Fabien Dal Maso and has published in prestigious journals such as NeuroImage, IEEE Transactions on Information Theory and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Jérémie Bigot i

Fields of papers citing papers by Jérémie Bigot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jérémie Bigot

Since Specialization
Citations

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