Laëtitia Matignon

About

Laëtitia Matignon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Laëtitia Matignon has authored 16 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Laëtitia Matignon’s work include Reinforcement Learning in Robotics (7 papers), Robotics and Sensor-Based Localization (4 papers) and Robotic Path Planning Algorithms (4 papers). Laëtitia Matignon is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Robotics and Sensor-Based Localization (4 papers) and Robotic Path Planning Algorithms (4 papers). Laëtitia Matignon collaborates with scholars based in France, South Korea and Sweden. Laëtitia Matignon's co-authors include Guillaume J. Laurent, Nadine Le Fort-Piat, Abdel‐Illah Mouaddib, Laurent Jeanpierre, Olivier Simonin, Jilles Dibangoye, Salima Hassas, Y.A. Chapuis, Julien Bourgeois and Christian Wolf and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Intelligent & Robotic Systems and Entropy.

In The Last Decade

Co-authorship network of co-authors of Laëtitia Matignon i

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Fields of papers citing papers by Laëtitia Matignon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laëtitia Matignon

Since Specialization

Citations

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