Sang‐Wook Kim

Kangwon National University

Papers

1

Total Citations

2

H-Index

1

About

Sang‐Wook Kim is a distinguished researcher in database systems and information retrieval, with a particular focus on efficient indexing strategies for large-scale data management. His work addresses critical challenges in optimizing B+-tree indices, which are fundamental to the performance of modern information retrieval systems. In his most-cited paper, "An Efficient Strategy for Adding Bulky Data into B+-Tree Indices in Information Retrieval Systems" (2002), Kim proposed a novel approach to handling bulk data insertion—a common bottleneck in database operations—without degrading query performance. This contribution has been recognized with 2 citations, reflecting its niche but targeted impact on the field. Kim’s research bridges the gap between theoretical database design and practical system implementation, offering solutions that enhance the scalability and efficiency of search and storage systems. His work is particularly valuable for students and researchers exploring index structures, data organization, and the optimization of retrieval algorithms in high-volume environments. Through his methodical approach, Kim has contributed to the foundational knowledge that underpins many contemporary database and information retrieval systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
An Efficient Strategy for Adding Bulky Data into B+-Tree Indices in Information Retrieval Systems
2 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Kangwon National University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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