Michel Crampes

8 papers and 66 indexed citations i.

About

Michel Crampes is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Michel Crampes has authored 8 papers receiving a total of 66 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Michel Crampes’s work include Data Visualization and Analytics (5 papers), Video Analysis and Summarization (2 papers) and Rough Sets and Fuzzy Logic (2 papers). Michel Crampes is often cited by papers focused on Data Visualization and Analytics (5 papers), Video Analysis and Summarization (2 papers) and Rough Sets and Fuzzy Logic (2 papers). Michel Crampes collaborates with scholars based in France and Australia. Michel Crampes's co-authors include Sylvie Ranwez, Michel Plantié, Jean Villerd, Armelle Régnault, Jacky Montmain, Vincent Ranwez and Catherine Mooney and has published in prestigious journals such as BMC Bioinformatics, IEEE Transactions on Visualization and Computer Graphics and International Journal of General Systems.

In The Last Decade

Co-authorship network of co-authors of Michel Crampes i

Fields of papers citing papers by Michel Crampes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michel Crampes

Since Specialization
Citations

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