Laëtitia Chapel

6 papers and 71 indexed citations i.

About

Laëtitia Chapel is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Laëtitia Chapel has authored 6 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Media Technology, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Laëtitia Chapel’s work include Remote-Sensing Image Classification (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Remote Sensing and Land Use (2 papers). Laëtitia Chapel is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Remote Sensing and Land Use (2 papers). Laëtitia Chapel collaborates with scholars based in France. Laëtitia Chapel's co-authors include Nicolas Courty, Lucas Drumetz, Rémi Flamary, Titouan Vayer, Romain Tavenard, Sébastien Lefèvre, Thomas Bürger and Minh‐Tan Pham and has published in prestigious journals such as Remote Sensing, Pattern Recognition Letters and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Laëtitia Chapel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laëtitia Chapel

Since Specialization
Citations

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