Camille Kurtz

41 papers and 611 indexed citations i.

About

Camille Kurtz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Camille Kurtz has authored 41 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Camille Kurtz’s work include Image Retrieval and Classification Techniques (16 papers), Advanced Image and Video Retrieval Techniques (16 papers) and AI in cancer detection (7 papers). Camille Kurtz is often cited by papers focused on Image Retrieval and Classification Techniques (16 papers), Advanced Image and Video Retrieval Techniques (16 papers) and AI in cancer detection (7 papers). Camille Kurtz collaborates with scholars based in France, United States and Germany. Camille Kurtz's co-authors include Nicolas Passat, Pierre Gançarski, Anne Puissant, Daniel L. Rubin, Christopher F. Beaulieu, François Petitjean, Laurent Wendling, Sandy Napel, Jean‐Philippe Malet and André Stumpf and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Camille Kurtz i

Fields of papers citing papers by Camille Kurtz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Camille Kurtz

Since Specialization
Citations

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