Samuel Schulter

About

Samuel Schulter is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geology. According to data from OpenAlex, Samuel Schulter has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 3 papers in Geology. Recurrent topics in Samuel Schulter’s work include Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (8 papers) and Advanced Neural Network Applications (7 papers). Samuel Schulter is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (8 papers) and Advanced Neural Network Applications (7 papers). Samuel Schulter collaborates with scholars based in United States, The Netherlands and Austria. Samuel Schulter's co-authors include Manmohan Chandraker, Yi–Hsuan Tsai, Kihyuk Sohn, Ming–Hsuan Yang, Wei-Chih Hung, Wongun Choi, Paul Vernaza, Buyu Liu, Horst Bischof and Peter M. Roth and has published in prestigious journals such as Journal on Computing and Cultural Heritage, 2009 IEEE Conference on Computer Vision and Pattern Recognition and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

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Fields of papers citing papers by Samuel Schulter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samuel Schulter

Since Specialization

Citations

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