Cordelia Schmid

159 papers and 20.4k indexed citations i.

About

Cordelia Schmid is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Cordelia Schmid has authored 159 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Computer Vision and Pattern Recognition, 63 papers in Artificial Intelligence and 15 papers in Aerospace Engineering. Recurrent topics in Cordelia Schmid’s work include Advanced Image and Video Retrieval Techniques (65 papers), Multimodal Machine Learning Applications (54 papers) and Human Pose and Action Recognition (54 papers). Cordelia Schmid is often cited by papers focused on Advanced Image and Video Retrieval Techniques (65 papers), Multimodal Machine Learning Applications (54 papers) and Human Pose and Action Recognition (54 papers). Cordelia Schmid collaborates with scholars based in France, United States and United Kingdom. Cordelia Schmid's co-authors include Ivan Laptev, Marcin Marszałek, Hervé Jeǵou, Matthijs Douze, Heng Wang, Alexander Kläser, Jakob Verbeek, Cheng‐Lin Liu, Matthieu Guillaumin and Patrick Pérez and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Cordelia Schmid i

Fields of papers citing papers by Cordelia Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cordelia Schmid

Since Specialization
Citations

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