Rosalia Schneider

About

Rosalia Schneider is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Rosalia Schneider has authored 8 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Rosalia Schneider’s work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Video Analysis and Summarization (2 papers). Rosalia Schneider is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Video Analysis and Summarization (2 papers). Rosalia Schneider collaborates with scholars based in United States, United Kingdom and Belgium. Rosalia Schneider's co-authors include Tinne Tuytelaars, Jean-Baptiste Alayrac, Lisa Anne Hendricks, John Mellor, Aida Nematzadeh, Danilo Jimenez Rezende, Pol Moreno, Daniel Zoran, Heiko Strathmann and Adam R. Kosiorek and has published in prestigious journals such as ACM Transactions on Graphics, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Rosalia Schneider i

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Fields of papers citing papers by Rosalia Schneider

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rosalia Schneider

Since Specialization

Citations

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