Samuel Albanie

About

Samuel Albanie is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Samuel Albanie has authored 37 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 7 papers in Human-Computer Interaction. Recurrent topics in Samuel Albanie’s work include Multimodal Machine Learning Applications (13 papers), Human Pose and Action Recognition (12 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Samuel Albanie is often cited by papers focused on Multimodal Machine Learning Applications (13 papers), Human Pose and Action Recognition (12 papers) and Domain Adaptation and Few-Shot Learning (10 papers). Samuel Albanie collaborates with scholars based in United Kingdom, China and United States. Samuel Albanie's co-authors include Li Shen, Gang Sun, Jie Hu, Enhua Wu, Andrew Zisserman, Arsha Nagrani, Andrea Vedaldi, Yang Liu, Hailin Jin and Weidi Xie and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Samuel Albanie i

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Fields of papers citing papers by Samuel Albanie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samuel Albanie

Since Specialization

Citations

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