Young Hee Geum

39 papers and 394 indexed citations i.

About

Young Hee Geum is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Young Hee Geum has authored 39 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Numerical Analysis, 20 papers in Computational Theory and Mathematics and 11 papers in Computational Mechanics. Recurrent topics in Young Hee Geum’s work include Iterative Methods for Nonlinear Equations (29 papers), Advanced Optimization Algorithms Research (22 papers) and Matrix Theory and Algorithms (16 papers). Young Hee Geum is often cited by papers focused on Iterative Methods for Nonlinear Equations (29 papers), Advanced Optimization Algorithms Research (22 papers) and Matrix Theory and Algorithms (16 papers). Young Hee Geum collaborates with scholars based in South Korea, United States and Malaysia. Young Hee Geum's co-authors include Young Ik Kim, Beny Neta, Á. Alberto Magreñán, Kevin G. Hare and Arjun K. Rathie and has published in prestigious journals such as Chaos Solitons & Fractals, Computers & Mathematics with Applications and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Young Hee Geum i

Fields of papers citing papers by Young Hee Geum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Hee Geum. 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 Young Hee Geum. The network helps show where Young Hee Geum may publish in the future.

Countries citing papers authored by Young Hee Geum

Since Specialization
Citations

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