Aurélien Lucchi

54 papers and 7.0k indexed citations i.

About

Aurélien Lucchi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Aurélien Lucchi has authored 54 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 8 papers in Astronomy and Astrophysics. Recurrent topics in Aurélien Lucchi’s work include Stochastic Gradient Optimization Techniques (9 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Model Reduction and Neural Networks (7 papers). Aurélien Lucchi is often cited by papers focused on Stochastic Gradient Optimization Techniques (9 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Model Reduction and Neural Networks (7 papers). Aurélien Lucchi collaborates with scholars based in Switzerland, United States and France. Aurélien Lucchi's co-authors include Pascal Fua, Kevin Smith, Radhakrishna Achanta, Anil Shaji, Sabine Süsstrunk, Christa Zoufal, Stefan Woerner, Thomas Hofmann, Alexandre Réfrégier and Jan Dirk Wegner and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Energy and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Aurélien Lucchi i

Fields of papers citing papers by Aurélien Lucchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aurélien Lucchi

Since Specialization
Citations

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