Hongseok Namkoong

15 papers and 472 indexed citations i.

About

Hongseok Namkoong is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Hongseok Namkoong has authored 15 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. Recurrent topics in Hongseok Namkoong’s work include Statistical Methods and Inference (8 papers), Risk and Portfolio Optimization (6 papers) and Adversarial Robustness in Machine Learning (4 papers). Hongseok Namkoong is often cited by papers focused on Statistical Methods and Inference (8 papers), Risk and Portfolio Optimization (6 papers) and Adversarial Robustness in Machine Learning (4 papers). Hongseok Namkoong collaborates with scholars based in United States, Italy and Germany. Hongseok Namkoong's co-authors include John C. Duchi, Aman Sinha, Peter W. Glynn, Mitchell Wortsman, Rebecca Roelofs, Jong Wook Kim, Hannaneh Hajishirzi, Raphael Gontijo Lopes, Gabriel Ilharco and Ludwig Schmidt and has published in prestigious journals such as The Annals of Statistics, Operations Research and Journal of the American Medical Informatics Association.

In The Last Decade

Co-authorship network of co-authors of Hongseok Namkoong i

Fields of papers citing papers by Hongseok Namkoong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hongseok Namkoong

Since Specialization
Citations

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