Amaury Lendasse

159 papers and 3.8k indexed citations i.

About

Amaury Lendasse is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Amaury Lendasse has authored 159 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Artificial Intelligence, 43 papers in Computer Vision and Pattern Recognition and 27 papers in Signal Processing. Recurrent topics in Amaury Lendasse’s work include Neural Networks and Applications (75 papers), Machine Learning and ELM (71 papers) and Face and Expression Recognition (29 papers). Amaury Lendasse is often cited by papers focused on Neural Networks and Applications (75 papers), Machine Learning and ELM (71 papers) and Face and Expression Recognition (29 papers). Amaury Lendasse collaborates with scholars based in Finland, United States and China. Amaury Lendasse's co-authors include Yoan Miché, Michel Verleysen, Olli Simula, Patrick Bas, Mark van Heeswijk, Christian Jutten, Antti Sorjamaa, John A. Lee, Anton Akusok and Kaj-Mikael Björk and has published in prestigious journals such as IEEE Access, Journal of the Franklin Institute and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Amaury Lendasse i

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Fields of papers citing papers by Amaury Lendasse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Amaury Lendasse

Since Specialization

Citations

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