Fabrice Heitz

73 papers and 1.2k indexed citations i.

About

Fabrice Heitz is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Fabrice Heitz has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 22 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Artificial Intelligence. Recurrent topics in Fabrice Heitz’s work include Medical Image Segmentation Techniques (33 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Advanced Vision and Imaging (9 papers). Fabrice Heitz is often cited by papers focused on Medical Image Segmentation Techniques (33 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Advanced Vision and Imaging (9 papers). Fabrice Heitz collaborates with scholars based in France, Finland and Ireland. Fabrice Heitz's co-authors include Patrick Bouthémy, Jean‐Paul Armspach, Patrick Pérez, Vincent Noblet, Charles Kervrann, Izzie Jacques Namer, L. Rumbach, Christian Heinrich, Christophoros Nikou and Patrick Pérez and has published in prestigious journals such as NeuroImage, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Fabrice Heitz i

Fields of papers citing papers by Fabrice Heitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabrice Heitz

Since Specialization
Citations

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