Benoît Naegel

30 papers and 329 indexed citations i.

About

Benoît Naegel is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Benoît Naegel has authored 30 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Benoît Naegel’s work include Medical Image Segmentation Techniques (15 papers), Image Retrieval and Classification Techniques (11 papers) and Digital Image Processing Techniques (7 papers). Benoît Naegel is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Image Retrieval and Classification Techniques (11 papers) and Digital Image Processing Techniques (7 papers). Benoît Naegel collaborates with scholars based in France, Germany and Switzerland. Benoît Naegel's co-authors include Nicolas Passat, Christian Ronse, Hugues Talbot, Laurent Wendling, Andreas Kleefeld, Benjamin Perret, Bernhard Burgeth, Camille Kurtz, Petr Dokládal and J. Baruthio and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Benoît Naegel i

Fields of papers citing papers by Benoît Naegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Benoît Naegel

Since Specialization
Citations

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