Keebom Kang

31 papers and 241 indexed citations i.

About

Keebom Kang is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Keebom Kang has authored 31 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 8 papers in Statistics, Probability and Uncertainty and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Keebom Kang’s work include Simulation Techniques and Applications (16 papers), Advanced Statistical Process Monitoring (6 papers) and Technology Assessment and Management (5 papers). Keebom Kang is often cited by papers focused on Simulation Techniques and Applications (16 papers), Advanced Statistical Process Monitoring (6 papers) and Technology Assessment and Management (5 papers). Keebom Kang collaborates with scholars based in United States, Brazil and South Korea. Keebom Kang's co-authors include David Goldsman, Bruce W. Schmeiser, Andrew F. Seila, Kevin R. Gue, Kenneth H. Doerr, Susan M. Sanchez, D. R. Eaton, Robert G. Sargent, Soung Hie Kim and Seong‐Hee Kim and has published in prestigious journals such as Operations Research, Computers & Industrial Engineering and Journal of Quality Technology.

In The Last Decade

Co-authorship network of co-authors of Keebom Kang i

Fields of papers citing papers by Keebom Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Keebom Kang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025