Amaury Lendasse

351 total papers · 8.6k total citations
203 papers, 4.6k citations indexed

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 203 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Artificial Intelligence, 59 papers in Computer Vision and Pattern Recognition and 32 papers in Signal Processing. Recurrent topics in Amaury Lendasse's work include Neural Networks and Applications (89 papers), Machine Learning and ELM (79 papers) and Face and Expression Recognition (30 papers). Amaury Lendasse is often cited by papers focused on Neural Networks and Applications (89 papers), Machine Learning and ELM (79 papers) and Face and Expression Recognition (30 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, Antti Sorjamaa, Mark van Heeswijk, Christian Jutten, John A. Lee, Anton Akusok and Vincent Wertz and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Amaury Lendasse

200 papers receiving 4.4k citations

Hit Papers

OP-ELM: Optimally Pruned ... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amaury Lendasse 2.9k 989 886 461 426 203 4.6k
Ignacio Rojas 2.0k 0.7× 1.1k 1.1× 560 0.6× 379 0.8× 369 0.9× 237 4.7k
Mikel Galar 4.2k 1.4× 1.0k 1.0× 1.1k 1.2× 651 1.4× 453 1.1× 92 6.5k
Peter Tiňo 2.3k 0.8× 551 0.6× 931 1.1× 268 0.6× 358 0.8× 203 4.2k
Lipo Wang 2.2k 0.8× 1.4k 1.5× 637 0.7× 375 0.8× 562 1.3× 187 6.8k
Zhihua Cai 4.0k 1.4× 1.2k 1.3× 749 0.8× 261 0.6× 183 0.4× 224 7.1k
Bartosz Krawczyk 4.9k 1.7× 777 0.8× 1.1k 1.2× 267 0.6× 554 1.3× 135 7.0k
Miroslav Kubát 4.3k 1.5× 822 0.8× 725 0.8× 390 0.8× 589 1.4× 97 6.5k
Robi Polikar 3.9k 1.3× 953 1.0× 581 0.7× 467 1.0× 720 1.7× 144 6.5k
Vladimir Cherkassky 2.5k 0.8× 1.3k 1.3× 743 0.8× 379 0.8× 587 1.4× 128 6.9k
Michał Woźniak 3.3k 1.1× 690 0.7× 650 0.7× 222 0.5× 523 1.2× 211 4.7k

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).

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.

Co-authorship network of co-authors of Amaury Lendasse

This figure shows the co-authorship network connecting the top 25 collaborators of Amaury Lendasse. A scholar is included among the top collaborators of Amaury Lendasse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amaury Lendasse. Amaury Lendasse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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