Song-Kyoo Kim

52 papers and 276 indexed citations i.

About

Song-Kyoo Kim is a scholar working on Management Science and Operations Research, Information Systems and Management Information Systems. According to data from OpenAlex, Song-Kyoo Kim has authored 52 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 11 papers in Information Systems and 8 papers in Management Information Systems. Recurrent topics in Song-Kyoo Kim’s work include Blockchain Technology Applications and Security (8 papers), Advanced Queuing Theory Analysis (6 papers) and Innovation Diffusion and Forecasting (5 papers). Song-Kyoo Kim is often cited by papers focused on Blockchain Technology Applications and Security (8 papers), Advanced Queuing Theory Analysis (6 papers) and Innovation Diffusion and Forecasting (5 papers). Song-Kyoo Kim collaborates with scholars based in Macao, United Arab Emirates and South Korea. Song-Kyoo Kim's co-authors include Chan Yeob Yeun, Ernesto Damiani, Paul D. Yoo, Nai‐Wei Lo, Jewgeni H. Dshalalow, Tae‐Yeon Kim, Chung-Suk Cho, Young-Ji Byon, Mohamed Jamal Zemerly and Gabriele Gianini and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Computers & Industrial Engineering.

In The Last Decade

Co-authorship network of co-authors of Song-Kyoo Kim i

Fields of papers citing papers by Song-Kyoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song-Kyoo Kim

Since Specialization
Citations

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