Mathilde Bateson

4 papers and 129 indexed citations i.

About

Mathilde Bateson is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mathilde Bateson has authored 4 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mathilde Bateson’s work include COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mathilde Bateson is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Mathilde Bateson collaborates with scholars based in Canada, France and Belgium. Mathilde Bateson's co-authors include José Dolz, Ismail Ben Ayed, Hoel Kervadec, Hervé Lombaert, Laurent Dercle, Andréa Varga, Cyril Jaudet, Christophe Massard, Jean‐Charles Soria and Charles Ferté and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Mathilde Bateson i

Fields of papers citing papers by Mathilde Bateson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mathilde Bateson

Since Specialization
Citations

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