Samuel Yeom

6 papers and 373 indexed citations i.

About

Samuel Yeom is a scholar working on Artificial Intelligence, Safety Research and Sociology and Political Science. According to data from OpenAlex, Samuel Yeom has authored 6 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Safety Research and 1 paper in Sociology and Political Science. Recurrent topics in Samuel Yeom’s work include Adversarial Robustness in Machine Learning (4 papers), Ethics and Social Impacts of AI (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Samuel Yeom is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Ethics and Social Impacts of AI (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Samuel Yeom collaborates with scholars based in United States. Samuel Yeom's co-authors include Matt Fredrikson, Irene Giacomelli, Somesh Jha, Michael Carl Tschantz, Zilong Tan, Ameet Talwalkar and Anupam Datta and has published in prestigious journals such as Journal of Computer Security, arXiv (Cornell University) and International Conference on Artificial Intelligence and Statistics.

In The Last Decade

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

Fields of papers citing papers by Samuel Yeom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samuel Yeom

Since Specialization
Citations

This map shows the geographic impact of Samuel Yeom'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 Yeom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Yeom 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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2025