Jihun Hamm

About

Jihun Hamm is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Jihun Hamm has authored 28 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Science Applications. Recurrent topics in Jihun Hamm’s work include Adversarial Robustness in Machine Learning (6 papers), Medical Image Segmentation Techniques (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Jihun Hamm is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Medical Image Segmentation Techniques (5 papers) and Privacy-Preserving Technologies in Data (5 papers). Jihun Hamm collaborates with scholars based in United States, South Korea and Australia. Jihun Hamm's co-authors include Ragini Verma, Christian G. Kohler, Ruben C. Gur, Christos Davatzikos, Dong Hye Ye, Daniel D. Lee, Mikhail Belkin, Zhengming Ding, Guoxing Chen and Adam C. Champion and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Jihun Hamm i

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Fields of papers citing papers by Jihun Hamm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jihun Hamm

Since Specialization

Citations

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