Jean-Baptiste Cordonnier

About

Jean-Baptiste Cordonnier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Jean-Baptiste Cordonnier has authored 5 papers receiving a total of 141 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Biomedical Engineering. Recurrent topics in Jean-Baptiste Cordonnier’s work include Advanced Neural Network Applications (2 papers), COVID-19 diagnosis using AI (1 paper) and Multimodal Machine Learning Applications (1 paper). Jean-Baptiste Cordonnier is often cited by papers focused on Advanced Neural Network Applications (2 papers), COVID-19 diagnosis using AI (1 paper) and Multimodal Machine Learning Applications (1 paper). Jean-Baptiste Cordonnier collaborates with scholars based in Switzerland, Germany and United States. Jean-Baptiste Cordonnier's co-authors include Martin Jaggi, Sebastian U. Stich, Andreas Loukas, Thomas Unterthiner, Aravindh Mahendran, Dirk Weissenborn, Jakob Uszkoreit, Alexey Dosovitskiy, Mary-Anne Hartley and Olivier Hügli and has published in prestigious journals such as BMJ Open, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jean-Baptiste Cordonnier i

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Fields of papers citing papers by Jean-Baptiste Cordonnier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Baptiste Cordonnier. 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 Jean-Baptiste Cordonnier. The network helps show where Jean-Baptiste Cordonnier may publish in the future.

Countries citing papers authored by Jean-Baptiste Cordonnier

Since Specialization

Citations

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