Sébastien Ehrhardt

9 papers and 150 indexed citations i.

About

Sébastien Ehrhardt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sébastien Ehrhardt has authored 9 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sébastien Ehrhardt’s work include Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (3 papers) and Advanced Vision and Imaging (3 papers). Sébastien Ehrhardt is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), COVID-19 diagnosis using AI (3 papers) and Advanced Vision and Imaging (3 papers). Sébastien Ehrhardt collaborates with scholars based in United Kingdom. Sébastien Ehrhardt's co-authors include Andrew Zisserman, Andrea Vedaldi, Sylvestre-Alvise Rebuffi, Kai Han, Olivia Wiles, Áron Monszpart, Niloy J. Mitra, Martin Engelcke, João Henriques and Ingmar Posner and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Sébastien Ehrhardt i

Fields of papers citing papers by Sébastien Ehrhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sébastien Ehrhardt

Since Specialization
Citations

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