Angélique Loesch

About

Angélique Loesch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Angélique Loesch has authored 14 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Angélique Loesch’s work include Domain Adaptation and Few-Shot Learning (6 papers), Video Surveillance and Tracking Methods (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Angélique Loesch is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Video Surveillance and Tracking Methods (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Angélique Loesch collaborates with scholars based in France. Angélique Loesch's co-authors include Romaric Audigier, Stéphane Canu, Samia Aïnouz, Michel Dhome, Jaonary Rabarisoa, Vincent Gay‐Bellile, Aleksandr Setkov, Amaury Habrard, Florian Chabot and Hichem Sahbi and has published in prestigious journals such as IEEE Access, Computer Vision and Image Understanding and Machine Vision and Applications.

In The Last Decade

Co-authorship network of co-authors of Angélique Loesch i

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Fields of papers citing papers by Angélique Loesch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angélique Loesch

Since Specialization

Citations

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