Fabian Lecron

About

Fabian Lecron is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Fabian Lecron has authored 20 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Fabian Lecron’s work include Medical Imaging and Analysis (6 papers), Medical Image Segmentation Techniques (5 papers) and Dental Radiography and Imaging (3 papers). Fabian Lecron is often cited by papers focused on Medical Imaging and Analysis (6 papers), Medical Image Segmentation Techniques (5 papers) and Dental Radiography and Imaging (3 papers). Fabian Lecron collaborates with scholars based in Belgium, United States and Canada. Fabian Lecron's co-authors include Philippe Fortemps, Saïd Mahmoudi, Mohammed Benjelloun, Mandy Rossignol, Pierre Manneback, Hubert Labelle, Sidi Ahmed Mahmoudi, Jonathan Boisvert, François Fouss and François Vallée and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Signal Processing and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Fabian Lecron i

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Fields of papers citing papers by Fabian Lecron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabian Lecron

Since Specialization

Citations

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