Diane Larlus

27 papers and 1.6k indexed citations i.

About

Diane Larlus is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Diane Larlus has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Media Technology. Recurrent topics in Diane Larlus’s work include Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Diane Larlus is often cited by papers focused on Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Diane Larlus collaborates with scholars based in France, South Korea and United Kingdom. Diane Larlus's co-authors include Jakob Verbeek, Joost van de Weijer, C. Schmid, Gabriela Csurka, Jon Almazán, Albert Gordo, Jérôme Revaud, Florent Perronnin, Luca Marchesotti and Andrea Vedaldi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Diane Larlus i

Fields of papers citing papers by Diane Larlus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diane Larlus

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025