Michaël Aupetit

41 papers and 782 indexed citations i.

About

Michaël Aupetit is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Michaël Aupetit has authored 41 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Michaël Aupetit’s work include Data Visualization and Analytics (10 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Clustering Algorithms Research (5 papers). Michaël Aupetit is often cited by papers focused on Data Visualization and Analytics (10 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Clustering Algorithms Research (5 papers). Michaël Aupetit collaborates with scholars based in France, Qatar and United States. Michaël Aupetit's co-authors include Luís Gustavo Nonato, Michael Sedlmair, Sylvain Lespinats, Luis Fernández-Luque, João Palotti, Shahrad Taheri, Raghvendra Mall, Preslav Nakov, Kareem Darwish and Yu Guan and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal of Medical Internet Research.

In The Last Decade

Co-authorship network of co-authors of Michaël Aupetit i

Fields of papers citing papers by Michaël Aupetit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michaël Aupetit

Since Specialization
Citations

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