Seoung Bum Kim

175 papers and 2.5k indexed citations i.

About

Seoung Bum Kim is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Industrial and Manufacturing Engineering. According to data from OpenAlex, Seoung Bum Kim has authored 175 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 31 papers in Statistics, Probability and Uncertainty and 30 papers in Industrial and Manufacturing Engineering. Recurrent topics in Seoung Bum Kim’s work include Advanced Statistical Process Monitoring (31 papers), Industrial Vision Systems and Defect Detection (25 papers) and Advanced Statistical Methods and Models (23 papers). Seoung Bum Kim is often cited by papers focused on Advanced Statistical Process Monitoring (31 papers), Industrial Vision Systems and Defect Detection (25 papers) and Advanced Statistical Methods and Models (23 papers). Seoung Bum Kim collaborates with scholars based in South Korea, United States and Thailand. Seoung Bum Kim's co-authors include Victoria C. P. Chen, Kwok‐Leung Tsui, Sangmin Lee, Han Kyu Lee, Young-Hoon Kim, Chan Hee Park, Thomas R. Ziegler, Dean P. Jones, Seulki Lee and Jay Michael Rosenberger and has published in prestigious journals such as PLoS ONE, Technometrics and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of Seoung Bum Kim i

Fields of papers citing papers by Seoung Bum Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seoung Bum Kim

Since Specialization
Citations

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