Heuna Kim

About

Heuna Kim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Heuna Kim has authored 2 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Heuna Kim’s work include Advanced Graph Theory Research (1 paper), Optimization and Packing Problems (1 paper) and Multimodal Machine Learning Applications (1 paper). Heuna Kim is often cited by papers focused on Advanced Graph Theory Research (1 paper), Optimization and Packing Problems (1 paper) and Multimodal Machine Learning Applications (1 paper). Heuna Kim collaborates with scholars based in United States, Iran and Germany. Heuna Kim's co-authors include Florian Hoppe, Christian Thurau, Ingo Fruend, Samira Ebrahimi Kahou, Joanna Materzyńska, Roland Memisevic, Raghav Goyal, P.N. Yianilos, Ingo Bax and Valentin Haenel and has published in prestigious journals such as Algorithmica and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Heuna Kim i

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Fields of papers citing papers by Heuna Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Heuna Kim

Since Specialization

Citations

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