Timothée Lesort

About

Timothée Lesort is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Timothée Lesort has authored 7 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Timothée Lesort’s work include Domain Adaptation and Few-Shot Learning (5 papers), Reinforcement Learning in Robotics (2 papers) and Face Recognition and Perception (1 paper). Timothée Lesort is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Reinforcement Learning in Robotics (2 papers) and Face Recognition and Perception (1 paper). Timothée Lesort collaborates with scholars based in France, Italy and Australia. Timothée Lesort's co-authors include David Filliat, Natalia Díaz-Rodríguez, Davide Maltoni, Andrei Stoian, Vincenzo Lomonaco, Jocelyn Faubert, Xinrui Li, Irina Rish, Mohammad Sajjad Ghaemi and Céline Craye and has published in prestigious journals such as Neural Networks, Information Fusion and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Timothée Lesort i

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Fields of papers citing papers by Timothée Lesort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Timothée Lesort

Since Specialization

Citations

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